Manatal vs Pymetrics
Detailed side-by-side comparison to help you choose the right tool
Manatal
🟡Low CodeAutomation & Workflow
Cloud-based AI recruiting and applicant tracking software for hiring teams.
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Starting Price
$15/user/monthPymetrics
🟢No CodeData Analysis
AI-powered soft skills assessment that uses neuroscience-based games to evaluate cognitive and emotional traits for better hiring decisions. Now part of Harver.
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Starting Price
~$10,000 (pilot); $25,000+/year (enterprise)Feature Comparison
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Manatal - Pros & Cons
Pros
- ✓Combines core ATS functions with AI recruiting features such as matching, ranking, and profile enrichment.
- ✓Transparent published pricing is represented as starting at $15 per user per month when billed annually.
- ✓Candidate enrichment is described as scanning publicly available profile and social data.
- ✓People-Match AI browser extension is described for sourcing and matching candidates from external profiles.
- ✓Enterprise and Enterprise Plus tiers support more advanced controls, support, and implementation needs.
- ✓Clear plan progression from Professional to Enterprise and Enterprise Plus for growing recruiting teams.
Cons
- ✗The provided website scrape does not include enough detail to verify every plan limit or feature entitlement.
- ✗The available content does not specify which AI features are included in every plan versus add-ons.
- ✗AI candidate ranking may require careful internal review to avoid over-reliance on automated recommendations.
- ✗The supplied content does not describe implementation timelines or migration complexity in detail.
- ✗The provided website content does not document every security, API, and compliance control at a technical level.
Pymetrics - Pros & Cons
Pros
- ✓Neuroscience-based games provide an engaging, low-stress candidate experience compared to traditional assessments or lengthy questionnaires
- ✓Built-in bias auditing actively reduces demographic discrimination in hiring, supporting DEI goals with measurable outcomes
- ✓Assessments take only 12 minutes, enabling high completion rates and faster screening of large applicant pools
- ✓Trait-based matching surfaces non-traditional candidates who would be filtered out by resume-based screening, broadening talent pipelines
- ✓Multi-language support enables consistent global hiring standards across different regions and offices
- ✓Internal mobility features allow organizations to redeploy existing employees based on cognitive trait alignment, not just job history
Cons
- ✗Game-based assessments may disadvantage candidates with certain cognitive or physical disabilities who struggle with timed interactive tasks
- ✗Does not evaluate technical skills, domain expertise, or industry-specific knowledge — must be paired with other assessment methods
- ✗Enterprise pricing model makes it cost-prohibitive for small businesses or organizations with low hiring volumes
- ✗Candidates unfamiliar with gamified assessments may underperform due to format anxiety rather than lack of ability
- ✗Limited transparency into how specific game behaviors translate to trait scores can frustrate candidates seeking feedback
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