Manatal

Manatal answers a simple question: why should an AI-assisted applicant tracking system cost enterprise money? At $15 per user per month, it delivers resume parsing, AI candidate scoring, social profile enrichment, pipeline kanbans, and job board multiposting — plus a recruitment CRM for agencies — at a price where competitors offer a stripped demo tier.

What we like

The value is honestly hard to argue with. The AI scoring engine reads job requirements and ranks candidates in your database against them, which turns shortlisting from an afternoon into minutes for typical roles. Social enrichment automatically appends candidates' public profiles to their records, saving the compulsive LinkedIn cross-referencing every recruiter does anyway. Agencies get client portals and placement tracking without an upsell. And the product is genuinely self-serve: trial, configure, and go live in a day without ever booking a sales call — rare in HR tech.

Where it falls short

The AI is useful but modest: it matches keywords and criteria intelligently, but it isn't doing Eightfold-style skills-adjacency inference, so treat scores as a sorting aid rather than a verdict. Power users hit tier gates — API access, advanced reporting, and SSO live on the higher plans. Resume parsing occasionally stumbles on creative or multi-column formats, requiring manual cleanup.

Verdict

For recruitment agencies and SMB hiring teams, Manatal is arguably the best value ATS on the market — a legitimately modern product at a price that makes evaluation risk-free. Scaling in-house teams with complex approval workflows should look at Greenhouse; everyone else should start the trial before spending five times more elsewhere.