Pymetrics (now Harver)
Neuroscience-based soft skills assessment platform using gamified cognitive and behavioural games to evaluate candidates while reducing bias in hiring.
Pymetrics uses neuroscience-based games and AI to measure cognitive and emotional attributes of candidates. Its game-based assessments evaluate traits like attention, memory, risk tolerance, and emotional intelligence. The AI then matches candidates to roles where they are most likely to succeed. Acquired by Harver in 2022 and integrated into their broader assessment suite.
Overview
Pymetrics, founded in 2013 and now operating under Harver following a 2022 acquisition, is a neuroscience-based candidate screening platform designed to assess soft skills and cognitive abilities through gamified assessments. Rather than relying solely on resumes or traditional interviews, the tool uses game-based cognitive and behavioral challenges to evaluate candidates' problem-solving abilities, risk tolerance, attention to detail, and interpersonal skills. The platform's core differentiator is its attempt to reduce unconscious bias in hiring by shifting focus from resume credentials to demonstrated capabilities and behavioral traits.
The platform combines AI-powered resume screening with video interview analysis and a suite of integrated features including skills assessment, candidate matching, and comprehensive reporting dashboards. It integrates with popular HRIS systems and supports API and Zapier connections, allowing organizations to embed it into existing workflows. Pymetrics targets enterprise-level organizations that process high volumes of candidates and want to standardize their early-stage screening process. The acquisition by Harver, a broader hiring intelligence platform, positioned Pymetrics within a larger ecosystem focused on candidate assessment and talent identification.
Who Should Use Pymetrics (now Harver)?
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Large enterprises with high-volume recruiting: Companies hiring 500+ candidates annually across multiple roles or departments benefit most from the automation and standardization this platform provides.
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Organizations focused on bias reduction: Companies committed to DEI initiatives and looking to remove resume-based screening in favor of skills-based evaluation will find alignment with Pymetrics' neuroscience-backed approach.
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Tech and professional services firms: Industries where soft skills like problem-solving, adaptability, and cognitive flexibility are critical success factors align well with the tool's assessment methodology.
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Companies with existing tech stacks: Organizations already using modern HRIS, ATS, or data integration tools can leverage Pymetrics' API and Zapier integrations to create seamless candidate workflows without manual data entry.
The Bottom Line
Pymetrics (now Harver) offers a distinctive approach to candidate screening by prioritizing behavioral and cognitive assessment over traditional resume filtering. The neuroscience-based methodology and focus on bias reduction are genuine strengths for organizations serious about standardizing early-stage hiring. However, potential users should note that the platform requires candidates to complete gamified assessments, which adds friction to the candidate experience and may increase dropout rates among passive candidates or those unfamiliar with alternative screening methods. The tool is also positioned firmly in the enterprise segment with no free tier, making it inaccessible for small to mid-market companies. Success with this platform depends heavily on organizational buy-in for a non-traditional assessment approach and sufficient candidate volume to justify the investment. For large enterprises seeking to reduce bias and standardize soft skills evaluation at scale, Pymetrics is worth evaluating—but smaller organizations or those prioritizing candidate experience simplicity should explore alternatives.
Pymetrics (now Harver) Features
AI & Automation
Analytics
Integrations
Screening
Company Info
- Company
- Pymetrics (acquired by Harver in 2022)
- Founded
- 2013
- Headquarters
- New York, New York, USA
- Deployment
- Cloud