Cross-functional innovation 

We blend new soft-skill science with audited, fairness-optimized AI to measure human potential.

It starts with soft skills 

Audited, fairness-optimized AI 

We can design AI to be both accurate and fair by using these three principles. First, we start with better data: evenly-distributed soft-skills data. Second, we only release algorithms if they meet stringent accuracy and fairness standards (lacking disparate impact). Finally, we don’t ask you to take our word for it: we had our platform independently audited to ensure full transparency.

See full report here.

Transparent tech policy 

In publicly auditing our technology, we intend to lead the way in transparent technology, which includes promoting industry-wide transparency, accountability and safeguards for the public. We support numerous initiatives that advance the goal of transparency in tech at the local, state and federal level.

Read more here.

Backed by research 

See all research

Meet the science team 

Frida Polli, PhD

Founder & Chief Executive Officer

Lewis Baker, PhD

Director of Data Science

Lori Foster, PhD

Head of Behavioral Science

A broader community 

pymetrics is committed to contributing to scientific knowledge about ethical AI. We work with academics from a variety of disciplines including computer science, psychology, economics, and law, to provide new information about our technology that is transparent and useful for diverse audiences.