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Manatal
AI-native applicant tracking and recruiting CRM for agencies and HR teams that want sourcing, enrichment, and pipeline tools in one place. Manatal raised a $5.1 million seed round led by Surge in February 2022.
Recruiting agencies and mid-market HR teams that want AI candidate matching, enrichment, and a workable ATS without enterprise bloat.
Enterprises that need deep custom workflows already locked into Greenhouse or Workday-class systems.
Verdict
Manatal is an AI recruiting ATS and CRM used by agencies and HR teams to source, enrich, and move candidates through hiring pipelines. It matters for buyers who want matching and agency tooling without paying for a giant enterprise suite.
Score Breakdown
How Manatal scores in the categories that matter to its buyers.
Pricing
Manatal publishes three per-user plans on its pricing page, with a 14-day free trial that needs no card. Figures are USD list prices read from the vendor’s pricing page in November 2026.
| Plan / SKU | Meter | Price (USD) | What stands out |
|---|---|---|---|
| Professional | Per user per month, billed annually | $15 | $19 billed monthly. Core ATS and recruiting CRM with AI recommendations. |
| Enterprise | Per user per month, billed annually | $35 | $39 billed monthly. Unlimited jobs and candidates and workflow automations. |
| Enterprise Plus | Per user per month, billed annually | $55 | $59 billed monthly. Adds SSO, API access, Report Builder and LLM integration. |
The Field at a Glance
How Manatal compares with other AI recruiting & ATS vendors we reviewed, by Overall Score and relative typical engagement cost.
Manatal scores 7.5 in AI recruiting & ATS, under Ashby (7.9) and Gem (7.6) and ahead of Dover (7.2). Relative cost lands lower on published seat plans.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Agency recruiting CRM | Strong | Tracks clients, candidates and pipelines for agency recruiters in one CRM. |
| AI candidate matching | Strong | Ranks candidates against each job with AI recommendations. |
| Corporate ATS basics | Strong | Job posting, pipelines and a career page come with the base plan. |
| Enterprise custom workflows | Mixed | Workflow automations start on the Enterprise plan, and Ashby goes further on custom workflows. |
| Fractional recruiter marketplace | Poor | Manatal has no marketplace of outside recruiters, and Dover does. |
| Compliance automation | Poor | Manatal does not cover compliance automation. |
Review Excerpts
Representative buyer views drawn from public information about Manatal. Paid reviews and pay-for-play sites were excluded.
“The AI recommendations tell our recruiters which applicants to open first.”
Representative buyer view
“We keep clients, candidates and job pipelines in one place and publish jobs to boards from it.”
Representative buyer view
“API access and single sign-on sit on the top plan, so a team that needs either pays $55 per user.”
Representative buyer view
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Manatal’s pricing page
Company Facts
- Founded
- 2018 (CB Insights)
- Headquarters
- Bangkok, Thailand (CB Insights)
- Total funding raised
- $5.1M (CB Insights)
- Key investors
- Surge, Cologne Masterclass, KolnBusiness (CB Insights)
- Website
- manatal.com
Key Leadership
Jeremy Fichet
Co-founder and CEO
Methodology
This page is an independent evaluation of Manatal for buyers comparing options in AI recruiting & ATS. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Manatal did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for AI recruiting & ATS)
- AI matching & enrichment
- Agency & corporate ATS depth
- Job-board & CRM integrations
- Enterprise workflow polish
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
Manatal is graded here as AI recruiting & ATS. Criteria scores can move as more review volume and product checks are added.