Manatal review

Affordable AI-powered ATS and recruitment CRM with candidate enrichment, built for agencies and lean in-house teams.

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In short · updated 2026-06-02
A genuinely cheap, easy AI ATS that covers the recruiting basics well, but thin reporting and limited customization hold it back from serious enterprise use.
Manatal website: homepage
Manatal homepage, captured 2026-06-02

Pros

  • Among the cheapest full ATS + CRM options, starting at $15/user/month annually with no per-seat gotchas on candidates or hiring managers
  • Strong AI sourcing stack: People-Match Chrome extension across 10+ platforms, a large profile pool, resume parsing and an AI Interviewer for async video screening
  • Clean, drag-and-drop pipeline that most recruiters can learn in a day, plus open API on higher tiers

Cons

  • Reporting and analytics are shallow; recruiter-performance and deeper custom reporting only arrive on Enterprise Plus or feel underbaked
  • UI and dashboard customization is limited, and AI match scoring struggles on complex or niche roles

Key features

  • AI candidate enrichment and People-Match sourcing extension across LinkedIn, Indeed, GitHub, Xing and more
  • AI Interviewer for 24/7 automated async video screening with transcripts and assessment summaries
  • Customizable drag-and-drop pipelines with workflow automation and an open API

Manatal pricing

List prices in USD per month, taken from the vendor at review time. Custom means quote-only.

Plan Per month What it covers
Professional $15 Per user/month billed annually ($19 monthly). Up to 15 jobs, 10,000 candidates, unlimited hiring managers.
Enterprise $35 Per user/month billed annually ($39 monthly). Unlimited jobs and candidates plus workflow automation.
Enterprise Plus $55 Per user/month billed annually ($59 monthly). Adds SSO, advanced report builder, LLM integration, open API, priority support.
Custom Custom Quote-based. Dedicated account manager, phone support, custom features/integrations and compliance reports.

What it is and who it's for

This is a recruitment-focused applicant tracking system and CRM with AI woven through sourcing and screening, aimed at recruitment agencies and small-to-mid in-house teams that want modern tooling without enterprise cost or implementation overhead. If you run high-volume requisitions across a small team, the per-user pricing and quick onboarding are the main draw. The sourcing stack is the standout: a Chrome extension that pulls candidates from LinkedIn, Indeed, GitHub, Xing, SEEK and others, resume parsing, and an AI Interviewer that runs async video screens around the clock with transcripts and summaries. The pipeline is intuitive and drag-and-drop, so most recruiters are productive within a day.

Manatal: features page screenshot
Manatal: features

Where it falls short

Reporting is the recurring complaint: recruiter-performance dashboards are thin, deeper custom reporting is gated behind Enterprise Plus, and even then it underwhelms teams used to BI-grade analytics. UI and dashboard customization is limited, and the AI match scoring tends to misfire on complex, senior or niche roles, so treat its rankings as a starting point rather than a verdict. Support is email-only and can be slow during busy periods.

Pricing, value and compliance

Pricing is per user per month and aggressively cheap: $15 (Professional), $35 (Enterprise) and $55 (Enterprise Plus) annually, with monthly rates roughly 20% higher; hiring managers and candidates aren't metered per seat, keeping costs predictable. A 14-day card-free trial is available, though some features are held back during it. As global SaaS it's usable worldwide, with a published privacy program, a DPA and SOC 2 Type II; the catch is US-based AWS hosting, so cross-border transfers rely on standard contractual safeguards rather than local data residency.

Manatal: how it works page screenshot
Manatal: how it works

Verdict

For agencies and lean recruiting teams, this is one of the best value-for-money AI ATS options available, and the sourcing tools punch above the price. Go in clear-eyed: if your decision hinges on deep analytics, heavy customization, or enterprise-grade support and integrations, it isn't the right fit. Trial it against your actual workflow before committing to an annual plan.

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