Common failure patterns include:
Our Model Safety Methodology Includes:
Advanced Red-teaming & Role-playing:
Clinicians simulate vulnerable or high-risk populations (e.g., adolescents, patients, distressed users) to surface unseen harms and conversational drifts.
Cross-domain Stress Testing:
Our experts design multi-factor scenarios — where misinformation, bias, and clinical error overlap — to reveal compound risk patterns.
Taxonomy & Rubric Design:
We create clinical-grade evaluation frameworks, psychometrics, and scoring rubrics so model safety findings are explainable and repeatable across teams.
Human-in-the-loop Iteration:
Continuous refinement through expert feedback and reinforcement learning, ensuring sustained safety gains over time.
Powered by Our Human Expert Network
Every mpathic engagement is grounded in our curated expert pool — a network of over 5,000 licensed U.S.-based specialists across psychology, psychiatry, social work, life sciences, and CNS medicine.
What this means for you:
Depth
Clinicians trained in digital health, conversational AI, and behavioral analysis
Breadth
Multilingual experts and culturally competent evaluators that have worked on global and regional projects
Speed
Rapid deployment — scale from pilot to hundreds of specialists in weeks.
Quality
Oversight from psychologist-led project managers (PMs) who combine clinical rigor and AI literacy