mpathic is an end-to-end AI safety infrastructure platform that combines domain expertise with purpose-built AI to evaluate and improve the safety of conversational AI models. It serves organizations building AI for high-risk, human-centered applications such as healthcare, mental health, life sciences, and gaming.
Key Features
- Red-Teaming Experts: Access a global pool of thousands of vetted safety experts (mental health professionals, clinicians, doctors) for adversarial testing and benchmarking.
- Human Data & Benchmarking: Generate multi-modal ground-truth datasets, trajectories, annotations, and role-plays tailored to safety requirements.
- Rubrics & Taxonomies: Customizable evaluation frameworks to measure model behavior against safety standards.
- Observing Agent API: Scientifically validated AI models that analyze conversational data to detect and evaluate human risk factors at scale.
- mpathic Studio: A recording and analysis tool for audio/video interactions, providing structured feedback to improve high-risk conversations.
Use Cases
- Red-teaming generative AI models to uncover vulnerabilities in handling sensitive topics.
- Benchmarking model safety against domain-specific datasets.
- Monitoring clinical trial conversations for consistency and safety.
- Ensuring conversational AI agents adhere to therapeutic protocols like motivational interviewing.
Who It’s For
- AI builders developing models that interact with people in sensitive contexts.
- Life sciences companies needing to monitor patient interactions.
- Healthcare organizations requiring validated safety assessments.
- Gaming companies targeting safe interactions for younger audiences.
Key Benefits
- Access to one of the largest pools of vetted safety experts for red teaming
- Scientifically validated observing agents for conversational analysis
- End-to-end coverage from policy development to real-time feedback loops
- Specialized for high-risk, human-centered domains like healthcare and gaming