Pymetrics

What is Pymetrics?

Pymetrics is a platform that uses behavioral science and artificial intelligence to help companies make fairer hiring decisions. Candidates play a series of neuroscience-based games, and AI algorithms assess their cognitive and emotional traits, then match them to job profiles that fit well. The goal is a clearer picture of a candidate’s real potential with less unconscious bias, supporting more diverse, equitable, and inclusive workplaces.

Who created Pymetrics?

Pymetrics was founded by Frida Polli and Julie Yoo. The company applies neuroscience and data science to recruitment through AI.

What is Pymetrics used for?

Pymetrics supports hiring and talent management through data-driven behavioral insights and AI that has been checked for fairness. Its main uses include:

• Gamified assessments: Candidates are evaluated through gamified behavioral assessments that collect a wide range of data to measure their potential.
• Custom AI: Companies can train their own AI algorithms based on their specific needs and the traits of their top-performing employees.
• Fair matching: The platform provides candidates and employees with unbiased matches and growth opportunities.
• Broad evaluation: Job seekers can be assessed for any role within a company or the wider Pymetrics network.
• Employee outcomes: It helps improve employee engagement, internal mobility, and retention.
• Diversity and inclusion: By relying on objective behavioral data rather than traditional screening, it promotes diversity and inclusion in hiring.

Pymetrics offers solutions for both early-career candidates and professional hiring, aiming to make the process more efficient and fair across the entire talent journey — from initial assessment through matching, internal mobility, and retention.

Key takeaways

Pymetrics replaces traditional screening with objective cognitive and behavioral data gathered from short games. Companies get audited, custom-trained algorithms for candidate matching; candidates get a fairer chance to demonstrate potential. For organizations looking to reduce bias and improve hiring outcomes, it offers a structured, science-based alternative to conventional assessment methods.