Pymetrics vs Manatal
Detailed side-by-side comparison to help you choose the right tool
Pymetrics
🟢No CodeAI HR & Recruiting
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)Manatal
🟡Low CodeAI HR & Recruiting
Cloud-based ATS with AI-powered candidate ranking, resume parsing, and recruitment analytics to streamline hiring processes for modern recruiting teams.
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Starting Price
$15/user/monthFeature Comparison
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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
Manatal - Pros & Cons
Pros
- ✓One of the most affordable ATS platforms on the market at $15/user/month starting price
- ✓AI candidate scoring genuinely reduces time-to-shortlist by surfacing best-fit applicants automatically
- ✓Social media enrichment pulls LinkedIn, GitHub, and other profile data to build richer candidate profiles without manual research
- ✓Clean, modern interface requires minimal onboarding — most recruiters are productive within a day
- ✓Kanban-style pipeline boards make it easy to visualize candidate progress across multiple roles simultaneously
- ✓Built-in career page builder and job board integrations (Indeed, LinkedIn, Glassdoor) reduce multi-platform posting overhead
Cons
- ✗Professional plan caps you at 15 open jobs and 10,000 candidates, which growing teams will outgrow quickly
- ✗API access is locked behind the $55/user/month Enterprise Plus tier, limiting integration options for mid-tier users
- ✗No external candidate sourcing database — Manatal only scores candidates already in your pipeline, unlike tools with 800M+ profile databases
- ✗Reporting and analytics are basic compared to enterprise ATS platforms like Greenhouse or Lever
- ✗Workflow automations are only available on Enterprise ($35/mo) and above, not included in the starter plan
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