pymetrics uses neuroscience data and AI to help global clients make their hiring and internal mobility more predictive and less biased. Using algorithms that are trained on high-performing employees at a company, pymetrics builds a trait profile of a company’s top performers to select best fit talent. These algorithms are then audited to remove any gender or ethnic bias. Prior to deployment, pymetrics checks each algorithm and removes any source through its open-sourced algorithm auditing tool, Audit-AI. pymetrics also serves as a common application for candidates, ensuring that everyone finds their best-fit job, regardless of where they apply. External candidates are assessed for all roles within the company with a single assessment. External candidates are assessed and guided to best-fit roles within the company, while rejected candidates are redirected to better fit roles across the pymetrics ecosystem.
pymetrics’ gamified assessments and video interview collect objective, behavioral data that is free of bias, unlike resume data or self-report data. Existing employees play pymetrics neuroscience games; pymetrics then analyzes trait data, and trends are identified. Custom algorithms are built representing success and are audited for bias, then candidates play games and match to opportunities. Games are available on web or mobile (Android or iOS). pymetrics officially supports Chrome, Firefox, Safari, Microsoft Edge and Internet Explorer browsers.