mpathic-ai

mpathic-ai

mpathic is a human-centered AI safety company that helps AI builders evaluate, stress-test, and improve human-facing models using expert-led red teaming, clinically grounded benchmarking, and tools like mpathic Studio and an API.

mpathic-ai is healthcare software teams evaluate for personal & entertainment. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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#32 in Healthcare (32 tools)
Just launched
Data reviewed Aug 25, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Personal & Entertainment

What it does

Healthcare software for decision-makers comparing workflow fit and alternatives.

Best fit

Personal & Entertainment

Pricing snapshot

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mpathic-ai

mpathic is a human-centered AI safety company focused on evaluating, stress-testing, and improving human-facing AI models using behavioral science and domain expertise. Their offerings include expert-led red teaming, clinically grounded benchmarks (mPACT Benchmarks) for high-risk behaviors such as suicide, eating disorders, and misinformation, and tools like mpathic Studio and an API to operationalize evaluation and annotation. The service is aimed at AI builders and teams deploying models in high-stakes contexts (e.g., youth safety, mental health, medical settings) who need rigorous, expert-driven assessment and actionable guidance to reduce harms and calibrate model personality.

AI platform for analyzing conversations to improve efficiency and patient safety.

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Key Features

Expert-Led Red Teaming

Human experts (clinicians, safety specialists, specialized actors and red-teamers) perform interactive red teaming to uncover failure modes, misalignment, bias, and risks that automated tests and synthetic data evaluations may miss.

Ground Truth Benchmarking (mPACT Benchmarks)

Validated benchmarks grounded in behavioral science to objectively measure model performance on nuanced, high-stakes human behaviors including suicide, eating disorders, and misinformation.

Detected Unwanted Responses

Detection and identification of subtle but critical risks to vulnerable populations, such as physical and psychological harm, prior to deployment.

Actionable Insights

Evaluations are translated into clear, model-ready insights to inform training data curation, fine-tuning, and iteration.

AI-Assisted Annotation

Option to use mpathic Studio for AI-assisted reinforcement learning, benchmarking and annotation of models or multi-modal data to speed research and deployment cycles.

Observing Agent API & Platform

APIs and platform capabilities to observe agent behavior and integrate benchmarking and red-team outputs into development workflows.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Mental health and clinical settings

Evaluate and stress-test models for safe interactions in mental health contexts, using clinician expertise and clinically grounded benchmarks.

Youth safety

Assess model behavior and risks when interacting with children and adolescents to ensure trustworthiness and safety.

Medical and healthcare applications

Test model responses and risk detection in medical scenarios where safety-critical guidance and interpretation matter.

AI product development and personality calibration

Calibrate model personality and alignment, uncover failure modes, and translate findings into training and fine-tuning actions for consumer or enterprise-facing products.

Integrations

No verified integration details are available.

Benefits

Uncovers failure modes and nuanced risks that automated tests may miss through expert-led red teaming
Provides clinically grounded benchmarks to measure performance on high-stakes behaviors
Delivers actionable, model-ready insights to inform data curation and fine-tuning
Scales evaluation with a specialized pool of clinicians, mental health experts, and safety professionals
Supports AI-assisted annotation and tooling (mpathic Studio) to speed research and deployment

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Visit the mpathic website and click Get Started or Book a Demo to discuss your needs
  2. 2 Review API Docs and product pages (Red-Teaming, mPACT Benchmarks, mpathic Studio) to choose services or integrations
  3. 3 Engage with mpathic (demo, trial, or onboarding) and integrate the API or Studio into your evaluation and development workflows

Support

docs

API Docs referenced on the site for technical integration and usage guidance

help center

Support Help Center (referenced in site footer) for product and support resources

contact

Contact Us (site provides a Contact Us entry for inquiries and demos)

API

Available: Yes
Documentation:

API Docs referenced on the site (API Docs page)

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