
Product
12 Mins Read
Introducing Leama: an AI prospecting agent built around your ICP

Jessy van den Berg
Founder, Prospactive
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Today, we’re launching the feature our team has been building for the past six months — and the one our customers have been asking for since day one.
Meet Leama Copilot.
What is AI Copilot?
AI Copilot is an intelligent assistant that lives inside your Leama workspace. It watches how your team works, identifies patterns in your connected tools, and proactively suggests automations you didn’t know you needed.
It doesn’t just help you build workflows faster. It finds the workflows you should be building in the first place.
How it works
Copilot continuously analyzes activity across your connected tools — your CRM, project management platform, communication tools, and more. When it detects a repetitive pattern, it generates a fully built workflow suggestion and presents it to you with a single button: Activate.
For example, Copilot might notice that every time a deal closes in your CRM, someone on your team manually creates a project in your task manager, sends a welcome email to the customer, and updates a shared spreadsheet. Instead of letting that pattern continue, Copilot builds the three-step automation and asks if you’d like to turn it on.
One click. Done forever.
Natural language workflow creation
Beyond suggestions, Copilot also lets you describe what you want in plain English. Type “When a new support ticket comes in, categorize it by urgency and route high-priority tickets to the on-call engineer” and Copilot builds the entire workflow — trigger, conditions, actions, and error handling included.
No dragging. No configuring. Just describe the outcome and let Copilot handle the implementation.
What our beta users are saying
We’ve been testing Copilot with 200 teams over the past three months. The results have exceeded our expectations. Teams using Copilot build 3x more workflows than those who don’t, and the workflows Copilot suggests have a 94% activation rate — meaning almost every suggestion is genuinely useful.
One beta user told us: “Copilot suggested an automation I’d been meaning to build for months but never got around to. It took one click instead of an hour.”
Availability
AI Copilot is available today for all Pro and Enterprise users. If you’re on the Free plan, you can upgrade to Pro to access Copilot along with unlimited workflows, advanced analytics, and priority support.
To enable Copilot, go to Settings → AI Features → Enable AI Copilot.
We’re just getting started with AI at Leama. Copilot is the foundation for a much larger vision — one where your operations run themselves and your team focuses entirely on the work that matters. More to come.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
Product
12 Mins Read
Introducing Leama: an AI prospecting agent built around your ICP

Jessy van den Berg
Founder, Prospactive
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Today, we’re launching the feature our team has been building for the past six months — and the one our customers have been asking for since day one.
Meet Leama Copilot.
What is AI Copilot?
AI Copilot is an intelligent assistant that lives inside your Leama workspace. It watches how your team works, identifies patterns in your connected tools, and proactively suggests automations you didn’t know you needed.
It doesn’t just help you build workflows faster. It finds the workflows you should be building in the first place.
How it works
Copilot continuously analyzes activity across your connected tools — your CRM, project management platform, communication tools, and more. When it detects a repetitive pattern, it generates a fully built workflow suggestion and presents it to you with a single button: Activate.
For example, Copilot might notice that every time a deal closes in your CRM, someone on your team manually creates a project in your task manager, sends a welcome email to the customer, and updates a shared spreadsheet. Instead of letting that pattern continue, Copilot builds the three-step automation and asks if you’d like to turn it on.
One click. Done forever.
Natural language workflow creation
Beyond suggestions, Copilot also lets you describe what you want in plain English. Type “When a new support ticket comes in, categorize it by urgency and route high-priority tickets to the on-call engineer” and Copilot builds the entire workflow — trigger, conditions, actions, and error handling included.
No dragging. No configuring. Just describe the outcome and let Copilot handle the implementation.
What our beta users are saying
We’ve been testing Copilot with 200 teams over the past three months. The results have exceeded our expectations. Teams using Copilot build 3x more workflows than those who don’t, and the workflows Copilot suggests have a 94% activation rate — meaning almost every suggestion is genuinely useful.
One beta user told us: “Copilot suggested an automation I’d been meaning to build for months but never got around to. It took one click instead of an hour.”
Availability
AI Copilot is available today for all Pro and Enterprise users. If you’re on the Free plan, you can upgrade to Pro to access Copilot along with unlimited workflows, advanced analytics, and priority support.
To enable Copilot, go to Settings → AI Features → Enable AI Copilot.
We’re just getting started with AI at Leama. Copilot is the foundation for a much larger vision — one where your operations run themselves and your team focuses entirely on the work that matters. More to come.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
12 Mins Read
Introducing Leama: an AI prospecting agent built around your ICP

Jessy van den Berg
Founder, Prospactive
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Most prospecting products start in the same place: a database.
Pick an industry. Set a headcount range. Add a country. Choose a title. Export the rows.
That is useful when your ideal customer can be described by those fields.
Ours usually could not.
We wanted companies with a specific business model, selling to a specific type of customer, at a stage where our offer made sense, with a relevant buyer and a current reason to start the conversation. The filters got us near the market. They did not finish the qualification.
The remaining work was manual:
- Open the company website
- Work out what the company really sells
- Check whether the market fits
- Find the person who owns the problem
- Look for current business context
- Verify the available contact data
- Write down why the account belongs
- Decide whether it deserves outreach
Leama is built for that remaining work.
What Leama does
Leama begins with an ideal customer profile, not a contact search.
You describe:
- The companies you want
- The buyers who matter
- The problems or use cases that create fit
- The signals that increase priority
- The near-matches you do not want
- The contact details you need
The agent then searches for potential companies and evaluates them one by one.
For accepted prospects, Leama can prepare:
- Company and website
- Decision-maker name and role
- Business email and phone where available
- LinkedIn and other relevant profiles
- ICP score
- Priority tier
- Why the prospect matches
- Company signal or buying trigger
- Suggested outreach angle
The result is a prospect record, not merely a row of data.
What Leama does not do
Leama is not a promise that every company will buy.
Qualification means the account appears to fit the criteria you defined. It does not mean the prospect has declared intent, budget, or interest.
Leama is also not built to remove humans from outreach.
No messages are sent to prospects on your behalf by default. You decide which records are strong enough to contact, whether the timing is appropriate, what channel to use, and what to say.
That is deliberate.
Research is repetitive enough to benefit from agents. Commercial judgment, legal responsibility, and human communication still belong with the user.
Why the reasoning matters
A score without an explanation is difficult to trust and difficult to improve.
Leama includes the reason for fit so you can inspect the decision.
That matters in three ways.
First, you can catch errors. If the agent misunderstood the business model, the record exposes the misunderstanding.
Second, your team can work faster. The salesperson does not need to start with a blank browser tab and reconstruct the qualification.
Third, feedback becomes specific. "Wrong business model" can improve a rule. "Bad lead" cannot.
The product should make its work visible enough to challenge.
Why prospects are sourced around the run
A database is efficient because the records already exist.
It can also create the feeling that everyone is contacting the same companies from the same filters with the same stale fields.
Leama searches around the active brief and evaluates current company information. That allows it to look beyond one fixed collection and use signals relevant to the moment of the run.
Current research is not perfect. Websites can be outdated. Roles can change. Contact fields can decay. That is why records stay reviewable and data quality should never be presented as guaranteed.
The promise is a better research process, not magical access to ground truth.
Why the free plan uses ClickUp
The first version of the free workflow needed a place where a user could inspect the complete record, sort prospects, change statuses, add feedback, and keep every field.
A plain spreadsheet made the data portable but did not provide enough workflow. A custom CRM would create more setup before the user could see the value.
The free plan therefore uses a preconfigured ClickUp CRM.
After entering a work email, the user opens the desktop setup link, creates or connects a free ClickUp account, installs the template with the Leama app, opens Prospecting Agent, and clicks Sync with Leama.
Paid plans add CSV export, CRM delivery options, and webhooks for teams that need a different destination.
Why the first 200 are free
A prospecting product should be judged from its prospects.
A demo can show the interface. A sample record can show the fields. Neither proves that the agent understands your market.
Two hundred records provide a meaningful test.
You can review the fit, check the selected buyers, inspect the research notes, report wrong data, and decide whether the process saves work.
After the starter batch, the free account receives 50 prospect credits each month. Paid plans begin at
Today, we’re launching the feature our team has been building for the past six months — and the one our customers have been asking for since day one.
Meet Leama Copilot.
What is AI Copilot?
AI Copilot is an intelligent assistant that lives inside your Leama workspace. It watches how your team works, identifies patterns in your connected tools, and proactively suggests automations you didn’t know you needed.
It doesn’t just help you build workflows faster. It finds the workflows you should be building in the first place.
How it works
Copilot continuously analyzes activity across your connected tools — your CRM, project management platform, communication tools, and more. When it detects a repetitive pattern, it generates a fully built workflow suggestion and presents it to you with a single button: Activate.
For example, Copilot might notice that every time a deal closes in your CRM, someone on your team manually creates a project in your task manager, sends a welcome email to the customer, and updates a shared spreadsheet. Instead of letting that pattern continue, Copilot builds the three-step automation and asks if you’d like to turn it on.
One click. Done forever.
Natural language workflow creation
Beyond suggestions, Copilot also lets you describe what you want in plain English. Type “When a new support ticket comes in, categorize it by urgency and route high-priority tickets to the on-call engineer” and Copilot builds the entire workflow — trigger, conditions, actions, and error handling included.
No dragging. No configuring. Just describe the outcome and let Copilot handle the implementation.
What our beta users are saying
We’ve been testing Copilot with 200 teams over the past three months. The results have exceeded our expectations. Teams using Copilot build 3x more workflows than those who don’t, and the workflows Copilot suggests have a 94% activation rate — meaning almost every suggestion is genuinely useful.
One beta user told us: “Copilot suggested an automation I’d been meaning to build for months but never got around to. It took one click instead of an hour.”
Availability
AI Copilot is available today for all Pro and Enterprise users. If you’re on the Free plan, you can upgrade to Pro to access Copilot along with unlimited workflows, advanced analytics, and priority support.
To enable Copilot, go to Settings → AI Features → Enable AI Copilot.
We’re just getting started with AI at Leama. Copilot is the foundation for a much larger vision — one where your operations run themselves and your team focuses entirely on the work that matters. More to come.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.
0 per month for teams that need more volume and delivery options.No card is required for the free plan.
Who Leama is for
Leama is a strong fit for:
- B2B agencies
- Consultants
- B2B SaaS companies
- Founder-led sales teams
- Sales-development teams
- Companies with a clear ICP but inconsistent list quality
It is a weak fit for businesses that want the largest possible database, cannot define a target, or want to send bulk messages without reviewing the recipients.
The product is designed to make focused prospecting repeatable. It cannot make an unfocused offer precise on its own.
What we are building toward
The core standard is simple:
A user should be able to open any accepted prospect and understand why it is there.
Around that standard, Leama can become better at:
- Translating nuanced ICPs into research instructions
- Finding companies outside obvious database filters
- Distinguishing genuine fit from keyword overlap
- Identifying the right buyer by context
- Checking and combining business data
- Capturing useful feedback from each run
- Delivering prospects into more sales workflows
The goal is not autonomous selling.
The goal is to remove the hours of repetitive research that happen before a good salesperson can make a good decision.