Build safer AI,
grounded in behavioral science

It’s so crucial that you all exist. We’ve worked with other vendors that don’t understand how to find the mental health expertise we need — we’re very thankful to be working together.

Frontier AI Lab

mpathic’s benchmarking work is crucial because we still lack comprehensive, evidence-based, scalable, and clinically grounded frameworks. We need benchmarks like mpathic’s that evaluate AI models against multi-dimensional risks and clinical evidence. mpathic’s exceptionally high safety standards can help companies build safer products and, importantly, evaluate real-world AI interactions.

Caroline Figueroa, MD, PhD, Stanford University; Delft University of Technology

mPACT relies on expert clinicians interacting with the LLM and simulating a wide range of patients, making it more of a real-world stress test than purely technical evaluations. As both a clinical psychologist and a digital health intervention developer and researcher, I continually struggle to balance the positive potential of technologies with their unintended negative consequences. mPACT represents exactly the kind of rigorous, safety-focused work needed to help the field strike that balance.

Adrian Aguilera, PhD, Chancellor’s Professor, UC Berkeley

A framework like the one developed by mpathic matters because it anchors evaluation in real-world clinical complexity. What stands out to me is that this approach doesn’t remove humans from the process, it centers them. As a psychologist, I trust a framework shaped by that level of clinical rigor far more than one relying solely on automated or LLM-based judgment.

Jessica Jackson, Ph.D., Founder & CEO of Therapy Is For Everyone Psychological & Consultation Services, PLLC

The field has needed a benchmark that treats safety as a clinical standard rather than a technical constraint. What gives this approach credibility is that clinicians are embedded throughout, from scenario design to evaluation, and that performance is assessed across detection, interpretation, and response. It is a more rigorous and clinically-aligned way to evaluate performance than relying on surface-level or automated judgments.

Dr. Ursula Whiteside, CEO, NowMattersNow.org

As AI enters high-stakes spaces like mental health, clinically grounded evaluation is essential. mpathic’s framework helps ensure these systems are assessed on how they actually respond in complex, real-world situations where safety is of the utmost importance.

Ellen E. Fitzsimmons-Craft, PhD, FAED, LP and Denise Wilfley, PhD, Center for Healthy Weight and Wellness, Washington University School of Medicine