---
title: "Leama vs Origami: Which Prospecting Agent Fits?"
description: "Compare Leama and Origami on live-web discovery, qualification, contact enrichment, sequencing, pricing, and the workflow each product suits."
canonical_url: "https://leama.ai/blog/leama-vs-origami"
md_url: "https://leama.ai/blog/leama-vs-origami.md"
last_updated: "2026-08-21"
---

# Leama vs Origami: which AI prospecting agent fits your workflow?
Leama editorial team
Reviewed 24 August 2026
Leama and Origami both move beyond a conventional list database, but they package the work differently. Choose Leama when the main problem is deciding which researched companies deserve to become prospects: you want explicit requirements, preferences and exclusions, an adjustable acceptance threshold, and a review trail for accepted and rejected companies. Choose Origami when you want a conversational, spreadsheet-like research surface with broad live-source discovery, contact waterfalls and email or LinkedIn sequencing in the same product. Origami is the lower-priced paid entry point; Leama has the more opinionated qualification-to-campaign workflow. Neither is automatically better. The practical decision is whether your bottleneck is qualification governance or flexible research and sequencing.
Choose Leama if: Leama is the better fit when a founder or team wants one qualification policy to survive beyond the person who wrote the first prompt.
Choose Origami if: Origami is better when the user wants a flexible research spreadsheet, broad visible source coverage and sequencing close to discovery.
Editorial disclosure: Leama publishes this comparison. We did not run a paid hands-on product test. Product and pricing facts come from the official public sources listed below and were reviewed on 24 August 2026.
- Best fit. Leama: Founders, agencies, consultants, and sales teams that want a smaller, reviewable stream of qualified B2B prospects. Origami: Founders and sales teams seeking conversational prospect discovery across B2B, local, niche, and other hard-to-index markets.
- Prospecting method. Leama: Uses a saved target profile, live web exploration, shared-registry candidates, company research, qualification rules, a fit threshold, and accepted or rejected prospect records. Origami: A prompt becomes a spreadsheet of prospects assembled from live sources; users can refine the search conversationally and add enrichment columns.
- Live research. Leama: Visits and researches current company websites and stores source URLs with prospect records. Origami: Yes. Origami explicitly says it searches the internet and current sources instead of relying on one stale database.
- Natural-language ICP. Leama: Users describe their ideal customer, buyer roles, locations, requirements, preferences, and exclusions. Origami: Yes.
- Qualification. Leama: Positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted. Origami: Users can define qualified and receive pass, fail, or unsure relevance scores.
- Scoring. Leama: Fit scores and written fit reasoning are stored with prospect records. Origami: Pass, fail, or unsure relevance scoring is documented. A user-adjustable numeric delivery threshold was not found in the reviewed public material.
As of August 2026, this comparison describes the vendors' public product contracts rather than guaranteed outcomes. Availability, match rates, deliverability and research quality vary by market and source evidence.
## Leama vs Origami at a glance
This is the closest comparison in the set because both products present AI-led, live-source prospecting rather than a filter-only database. The distinction is not ‘web research versus no web research.’ It is how the products turn research into an acceptance decision and what happens after that decision.
Leama is built for founders, agencies, consultants, and sales teams that want a smaller, reviewable stream of qualified B2B prospects.
Origami is built for founders and sales teams seeking conversational prospect discovery across B2B, local, niche, and other hard-to-index markets.
Leama's prospecting method: Uses a saved target profile, live web exploration, shared-registry candidates, company research, qualification rules, a fit threshold, and accepted or rejected prospect records.
Origami's prospecting method: A prompt becomes a spreadsheet of prospects assembled from live sources; users can refine the search conversationally and add enrichment columns.
Qualification differs too. Leama documents positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted. Origami documents users can define qualified and receive pass, fail, or unsure relevance scores.
The useful decision is not which page contains more feature labels. It is which workflow best removes the buyer's actual prospecting bottleneck.
## What each product is
Leama is an AI prospecting agent built around an ideal customer profile. A user describes the companies, buyer roles, locations, observable requirements, softer preferences and exclusions that matter.
The agent explores public websites and other market sources, evaluates candidates, records source URLs and assigns fit reasoning before a company becomes an accepted prospect. Contact discovery follows company qualification.
Paid tiers add more target profiles, recurring schedules, delivery methods and outreach campaign capacity. Leama remains review-first: source data can become stale, roles can change and a qualified company is not permission to contact a person.
Origami positions itself this way: An AI prospecting agent that learns a business, finds leads from live sources, enriches them, scores relevance, and can run email and LinkedIn sequencing.
Its public materials describe its data and discovery model as follows: The homepage says 50+ sources; the product page describes Google Maps, social profiles, job boards, e-commerce sources, funding, news, and the open web.
For scoring, enrichment and outreach, Origami documents pass, fail, or unsure relevance scoring is documented. A user-adjustable numeric delivery threshold was not found in the reviewed public material. Contact enrichment: Emails, phone numbers, firmographics, technographics, funding, and custom fields can be added. Outreach: Paid plans include an unlimited sequencer; official guides describe email and LinkedIn sequencing with human approval.
## Key differences between Leama and Origami
Both products can contribute to prospecting, but the most important differences change who owns qualification logic, where evidence is reviewed and how accepted companies move toward outreach.
The first four differences are the clearest starting point for a controlled evaluation:
- Qualification model: Leama — A saved target profile combines required signals, preferences, exclusions and a numeric delivery threshold. Origami — Relevance can be defined in natural language and returned as pass, fail or unsure. Why it matters: Leama is clearer when qualification must be repeatable across recurring runs; Origami is attractive when an operator wants to refine the research interactively.
- Research surface: Leama — The product centers on prospect records and the evidence used to accept or reject them. Origami — The product centers on a conversational table where research and enrichment columns can be added. Why it matters: Choose the record-first model for controlled handoff; choose the table-first model for exploratory analysis.
- Discovery scope: Leama — Leama documents a split exploration budget with at least half reserved for candidates outside its shared registry. Origami — Origami advertises 50+ sources spanning maps, social, jobs, commerce, funding, news and the open web. Why it matters: Origami makes source breadth more visible; Leama makes the outside-registry exploration rule more explicit.
- Outreach: Leama — Paid plans support campaigns, AI-drafted sequences and optional sending infrastructure after qualification. Origami — Paid access includes an unlimited sequencer, with official guidance for email and LinkedIn flows with human approval. Why it matters: Origami is stronger for teams that want sequencing directly beside the research table.
A complete evaluation should also cover the remaining product differences and the operating cost around them:
- Review control: Leama — Accepted and rejected prospects preserve fit reasoning and source URLs for review. Origami — Sources, custom columns and relevance outcomes remain visible in the research workspace. Why it matters: Both are reviewable, but Leama makes the accept/reject gate the organizing decision.
- Paid entry: Leama — Grow is $20 per month after the free starter allocation. Origami — Starter is $29 per month and includes 2,000 monthly credits. Why it matters: Price alone does not settle value because the credit units and included workflow differ.
- Review the evidence and reasoning attached to accepted records.
- Measure reviewer time as well as exported record count.
- Price every required plan, module, credit and seat.
- Check whether the workflow can reject weak matches without silently loosening the brief.
- Keep final targeting, suppression and outreach decisions under human control.
Important qualification nuance: Origami does document qualification and relevance scoring. It would be inaccurate to describe it as a filter-only database or an unqualified list generator. The narrower Leama advantage is the combination of a numeric acceptance threshold, explicit positive and negative rules, and a documented outside-registry exploration budget.
Contact data and outreach should be scored separately from company fit. A product can be strong in one layer and average in another.
Vendor-published coverage and accuracy figures are claims unless an independent source is explicitly named.
Use one frozen ICP and one acceptance definition before comparing results. Otherwise the test measures changing instructions rather than product behavior.
## Where each product is better
Where Leama is better: Leama is the better fit when a founder or team wants one qualification policy to survive beyond the person who wrote the first prompt. Requirements, softer preferences, hard exclusions and the threshold create a visible acceptance standard. The accepted/rejected history also makes false positives easier to discuss. That structure matters for recurring prospecting, agency handoff and narrow ICPs where ‘roughly relevant’ still creates too much review work.
Leama's strongest documented advantage in this comparison is positive requirements, preferences, exclusions, and an adjustable qualification threshold determine which researched companies are accepted.
Where Origami is better: Origami is better when the user wants a flexible research spreadsheet, broad visible source coverage and sequencing close to discovery. Its enrichment columns, validated contact waterfalls and email/LinkedIn workflows can reduce tool switching. The Starter plan also includes materially more headline credits than Leama Grow, although the products do not define a credit in the same way and raw credit counts should not be treated as equivalent output.
Origami's documented strengths include Broad live-source discovery, Built-in verified contact waterfalls, Simple prompt-to-table workflow, and Email and LinkedIn sequencing.
Choose Leama when leama is the better fit when a founder or team wants one qualification policy to survive beyond the person who wrote the first prompt.
That is the strongest case for Leama here: a smaller, defensible prospect set can be more valuable than the largest available export.
Choose Origami when origami is better when the user wants a flexible research spreadsheet, broad visible source coverage and sequencing close to discovery.
That is the strongest case for Origami: its broader or more specialized capability may justify a different workflow, price or implementation burden.
Neither recommendation is universal. It is tied to a named operating problem and the buyer who owns it.
Test the recommendation with current records from the market the team actually serves.
## A practical example
Imagine a specialist security consultancy targeting European manufacturers with a recent compliance trigger, a visible internal security owner, and no evidence that the company is already served by an enterprise consultancy. In Leama, those conditions can become positive rules, exclusions and a threshold that controls acceptance. In Origami, the team can describe the market, add research columns, inspect source-backed results, score relevance and move qualified rows into a sequence. Leama is easier to govern as a repeated qualification policy. Origami gives an operator more freedom to shape the table and outreach flow as the search evolves.
For a fair trial, give both products the same target-market brief and freeze the acceptance definition before reviewing results.
Count genuinely new companies, current supporting evidence, human-approved matches, useful decision-makers and reviewer minutes.
Company fit, contact accuracy and outreach performance are separate outcomes. Record each one independently.
If the workflow includes email, preserve suppression lists, review the final recipient and message, and monitor domain health independently of the prospecting score.
The winning workflow is the one the team can inspect, correct and repeat without creating more cleanup than it removes.
## Pricing compared
Pricing checked: 24 August 2026. Leama's current public offer is $0 Free with 50 monthly prospect credits; Grow $20/month; Scale $99/month.
Origami currently publishes: Free includes 1,000 one-time credits. Starter is $29/month for 2,000 monthly credits. Enterprise is custom.
Leama free-plan position: Yes. New accounts receive 50 prospect credits each calendar month, with no card required.
Origami free or trial position: Yes, with 1,000 one-time credits and no credit card required.
Do not divide a subscription by headline credits and call it a direct price-per-prospect comparison. Vendors meter different searches, data fields, enrichments, verified emails, AI actions, accepted prospects and sending capacity.
Estimate the complete workflow, including separate modules, provider charges, required seats and the time needed to review or maintain the system.
Recheck both official pricing pages before purchasing. This article does not estimate hidden pricing or promise future plan availability.
## How to choose
Start with the failure the team is trying to remove. If weak companies reach sales, prioritize qualification controls and evidence. If the account list is sound but contacts are missing, prioritize enrichment and verification.
Who should choose Leama: teams should choose Leama when leama is the better fit when a founder or team wants one qualification policy to survive beyond the person who wrote the first prompt.
Who should choose Origami: teams should choose Origami when origami is better when the user wants a flexible research spreadsheet, broad visible source coverage and sequencing close to discovery.
Define what makes a company accepted before either vendor returns results.
- Use the same geography, buyer roles, batch size and review window.
- Track evidence freshness, false positives, missing contacts and review minutes.
- Calculate the cost of every required plan, module, provider and seat.
- Inspect what can be corrected, repeated and audited after the first run.
- Choose the smaller system unless broader capability has a named owner and measurable use.
Useful Leama paths: /agent, /pricing, /help/understanding-qualification, /help/understanding-the-prospects-page, /help/delivery-settings and /help/outreach-campaigns.
## Verdict
For a team that already knows the difference between an interesting company and an acceptable prospect, Leama is the cleaner operating system for applying that standard repeatedly. For a hands-on researcher who wants to discover, enrich and sequence from one evolving table, Origami is the stronger choice. Start with the workflow you need to control, then compare a small batch for evidence quality and review time rather than comparing vendor credit totals in isolation.
The recommendation is specific: use Origami for the operating strength described above, and use Leama when qualification before volume is the primary requirement.
Leama is not trying to provide the biggest possible database. It is designed to prevent weak prospects from reaching outreach in the first place.
Describe your ideal customer and use 50 prospect credits each calendar month whenever you are ready. No credit card is required.
Start at https://app.leama.ai/sign-up and use the first records to refine the brief before increasing volume.
The customer retains responsibility for final accuracy, suppression, message and compliance decisions.
## Frequently asked questions and sources
Do Leama and Origami both use live web research? Yes. Both publicly describe current web or internet research. Origami emphasizes its breadth of live sources; Leama emphasizes website-level evidence and an exploration budget beyond its existing registry.
Which is better for qualification rules? Leama is more explicit about required signals, preferences, exclusions and an adjustable numeric threshold. Origami supports natural-language qualification and pass, fail or unsure relevance outcomes.
- Which includes outreach? Both can support outreach. Origami documents email and LinkedIn sequencing; Leama paid plans support campaigns, AI-drafted sequences and optional sending infrastructure.
- Is Origami cheaper than Leama? Origami Starter is $29 per month while Leama Grow is $20 per month as checked on 24 August 2026. The included credits and workflow are not directly equivalent.
- Official source: https://origami.chat/
- Official source: https://origami.chat/pricing
- Official source: https://origami.chat/products/ai-research-agents
- Official source: https://origami.chat/changelog
- Official source: https://docs.origami.chat/
Research method: only official Leama and Origami pages were used for product and pricing facts. Unknowns remain explicit, and the article does not claim independent performance testing.
Features and pricing were checked as of August 2026. Public product pages can change after publication.
Related comparisons: /blog/leama-vs-wuobly, /blog/leama-vs-leadsforge, /blog/leama-vs-clay. Full comparison hub: /blog/best-ai-prospecting-tools.
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