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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.

Clinical lead for mental health evaluation at Fortune 100 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