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Human-Centered
AI Safety Infrastructure

mpathic delivers end-to-end safety evaluation across the model lifecycle—from policy development and curation of mpathic ExpertsTM to ground truth datasets and real-time feedback loops. We help AI builders train, evaluate, and calibrate models for nuanced human behavior and high-risk environments, so they perform safely in the real world.

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mpathic has the biggest pool of top safety experts in the world

We work with thousands of top mental health experts, doctors, clinicians and other safety experts for use in red teaming and benchmarking.

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AI’s newest frontiers demand the highest safety standards

From kids to medical settings to mental health — mpathic helps ensure AI is safe where it matters most.

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Safe outcomes require domain experts and purpose-built AI

mpathic combines expert judgment with AI models that detect and evaluate human risk in large-scale, high-risk scenarios.

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Partners Who Trust mpathic

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Products

Human Data

mpathic Experts create multi-modal ground-truth datasets, trajectories, annotations and role plays for use in red teaming and benchmarking.

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Observing Agents

Backed by over a decade of scientific validation to comprehensively analyze and interpret conversational data to assess and improve safety.

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mpathic Studio

Record, analyze and improve high-risk interactions with structured feedback and insights from your audio and video recordings.

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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

Working with mpathic gave us a trusted partner in ensuring our conversational AI agent consistently delivered high-quality motivational interviewing.

Matt Chester, PhD, ABPP, Conversational AI at Panasonic WELL

Our collaboration with mpathic is redefining how we assess and teach surgery, transforming non-technical skills into measurable, actionable data that will shape the future of surgical coaching and performance. Together, we are building this into a real-time surgical coaching platform designed to elevate training, feedback, and mastery for surgeons at every level.

Nicolas Fernandez, MD, Seattle Children’s Hospital

Humanly uses the mpathic API to measure empathy and address gender disparities in the hiring process. It’s not just about the numbers; it’s about the quality of the conversation. Partnering with mpathic has helped us level the playing field for everyone.

Prem Kumar, CEO of Humanly

mpathic’s innovative approach to reducing variability, bias, and safeguarding participants impressed us greatly. Recognizing our limitations in monitoring clinical trial conversations at scale, we chose to accelerate our progress by leveraging mpathic’s AI capabilities.

SVP Clinical Innovation, Biopharmaceutical Company

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