# mpathic AI

According to OpenAITools.app telemetry verified on 2026-11-11, mpathic AI (mpathic.ai) is an AI platform indexed under AI Healthcare generating 6.77K monthly visits with a month-over-month traffic delta of -635 (-8.6%). Its primary geographic market is United States (97.7% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include Empirical Health (70.52K visits/mo), Mindgard (153.46K visits/mo), Hamming AI (17.81K visits/mo).

Clinician-led AI safety evaluation and psychosocial risk benchmarking

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | mpathic AI |
| Handle | mpathic-ai |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | mpathic.ai |
| Website URL | https://mpathic.ai |
| Categories | AI Healthcare, AI API, AI Speech-to-Text, AI For Data Analytics |
| Pricing Model | Contact for Pricing |
| Monthly Visits | 6,774 |
| MoM Traffic Change | -635 |
| MoM Growth Rate | -8.6% |
| Primary Market | United States |
| Market Share | 97.7% |
| Direct Visits | 3,263 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 380 |
| Email Visits | 150 |
| Review Score | 4.3 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Contact for Pricing |
| Tags | AI, Conversational AI, Data Analysis, Patient Safety, Compliance, Healthcare, Life Sciences, Clinical Trials, NLP, Data Privacy, Real-time Insights, Workflow Automation |

## Overview

mpathic is an AI safety company built by clinicians and behavioral scientists. Its platform runs expert human judgment across pre-training, post-training and live production, so that model behavior in high-stakes conversations — suicidal ideation, disordered eating, misinformation — is measured against a clinical gold standard rather than automated heuristics alone. A calibration loop links a technology layer with a network of more than 7,000 licensed clinicians who author the policy, taxonomy, rubric and conversation scripts that set the evaluation standard.

The company's public research arm is mPACT (mpathic Psychologist-led AI Clinical Tests), a benchmarking framework that assesses AI models in simulated high-risk scenarios. Published benchmarks currently cover suicide risk, eating disorders and misinformation, each graded against a clinical standard and intended for researchers, developers, regulators and clinicians.

Beyond benchmarks, mpathic provides commercial services such as model evaluations and benchmarking, model red teaming, and taxonomy, rubric and policy design, along with a platform that monitors unsafe behavior continuously in production. It has been recognized by the State of Utah's Office of Artificial Intelligence Policy to independently evaluate healthcare AI in the state's regulatory sandbox. Pricing is not published; engagement is via contact/demo.

## Pricing & Plans

Pricing is not published publicly — mpathic sells through a 'Talk to Us' enterprise/contact-sales motion, with service scope (evaluations, red teaming, platform access) defined per engagement. Check the official site for a current quote.

## Key Features & Capabilities

- **Expert-led model evaluation:** Licensed clinicians evaluate model responses in high-risk psychosocial scenarios, scoring detection, interpretation and response quality against a clinical standard.
- **mPACT benchmark suite:** Public, methodology-documented benchmarks for suicide risk, eating disorders and misinformation, usable to audit current and future model versions.
- **Model red teaming:** Structured adversarial testing designed to surface unsafe behavior in sensitive mental-health and wellbeing interactions before release.
- **Taxonomy, rubric & policy design:** Clinician-authored evaluation frameworks that define what harm looks like, so internal teams can apply a consistent standard at scale.
- **Continuous production monitoring:** Live calibration and monitoring that flags unsafe model behavior in real deployments, not just in offline test sets.

## Primary Use Cases

- **Pre-launch safety validation (AI model & safety teams):** Run clinician-graded evaluations on new model versions to catch psychosocial risks before shipping to consumers.
- **Independent third-party assessment (Regulators & policy teams):** Use clinically grounded benchmarks as an external standard when reviewing healthcare or mental-health AI systems.
- **Clinical risk benchmarking (Healthcare & mental-health AI builders):** Compare models against mPACT benchmarks on suicide risk, eating disorders and misinformation to prioritize safety work.
- **Ongoing production assurance (Compliance & trust leads):** Monitor deployed models continuously for unsafe behavior and produce evidence for audit and governance reviews.

## Strengths

- Evaluation standard is set and maintained by licensed clinicians rather than purely automated judges
- Publicly documented mPACT benchmarks give a credible, comparable baseline for high-risk behavior
- Expert network of 7,000+ clinicians allows evaluation to scale without losing clinical rigor
- Continuous production monitoring extends safety testing beyond one-off pre-release audits

## Limitations

- No public pricing, so cost and scope require a sales conversation
- Focus is narrow and deep on psychosocial/high-risk evaluation rather than general LLM analytics
- Benchmarks cover a limited set of risk domains today

## Frequently Asked Questions

### Is mpathic an official partner of the AI model providers it evaluates?
No. mpathic is an independent AI safety company. Model and company names appear in benchmark reports for identification only and do not imply affiliation or endorsement by those providers.

### What is mPACT?
mPACT stands for mpathic Psychologist-led AI Clinical Tests. It is a benchmarking framework that assesses how AI models respond in simulated high-risk scenarios such as suicide-related conversations, disordered eating and misinformation.

### Who is mPACT intended for?
Researchers, model developers, regulators and clinicians who need a clinically grounded way to audit or review the safety behavior of AI systems.

### How much does mpathic cost?
Pricing is not published. Engagements are scoped individually, so you should contact mpathic directly for a quote on evaluations, red teaming or platform access.

### What is mpathic AI's monthly traffic and growth trend?
mpathic AI currently receives 6.77K monthly visits, with a month-over-month traffic change of -635 (-8.6% growth rate). Its primary source market is United States (97.7% share), including 3.26K direct visits/mo and — organic search visits/mo.

### Is mpathic AI free? What is its pricing model?
mpathic AI operates on a Contact for Pricing pricing model. Pricing is not published publicly — mpathic sells through a 'Talk to Us' enterprise/contact-sales motion, with service scope (evaluations, red teaming, platform access) defined per engagement. Check the official site for a current quote. Supported billing and checkout platforms include: not listed.

### What are the best mpathic AI alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to mpathic AI are: 1. Empirical Health (70.52K visits/mo); 2. Mindgard (153.46K visits/mo); 3. Hamming AI (17.81K visits/mo); 4. LangTest (4.48K visits/mo); 5. Hathr AI (12.34K visits/mo).

### Which platforms and core AI capabilities does mpathic AI support?
mpathic AI is classified under AI Healthcare, AI API, AI Speech-to-Text, AI For Data Analytics, supports the following platforms: Website, and its core capability tags include: AI, Conversational AI, Data Analysis, Patient Safety, Compliance, Healthcare.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Empirical Health](https://openaitools.app/tool/empirical-health) | 70,517 | Paid | [Compare](https://openaitools.app/compare/empirical-health-vs-mpathic-ai) |
| [Mindgard](https://openaitools.app/tool/mindgard) | 153,455 | Contact for Pricing | [Compare](https://openaitools.app/compare/mindgard-vs-mpathic-ai) |
| [Hamming AI](https://openaitools.app/tool/hamming-ai-yc-s24) | 17,813 | Contact for Pricing | [Compare](https://openaitools.app/compare/hamming-ai-yc-s24-vs-mpathic-ai) |
| [LangTest](https://openaitools.app/tool/langtest) | 4,478 | Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/langtest-vs-mpathic-ai) |
| [Hathr AI](https://openaitools.app/tool/hathr-ai-hipaa-compliant-ai-chat-tool) | 12,335 | Free Trial, Paid | [Compare](https://openaitools.app/compare/hathr-ai-hipaa-compliant-ai-chat-tool-vs-mpathic-ai) |
| [CompliantChatGPT](https://openaitools.app/tool/compliantchatgpt) | 10,106 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/compliantchatgpt-vs-mpathic-ai) |
| [Klu](https://openaitools.app/tool/klu-ai-public-beta) | 30,504 | Freemium, Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/klu-ai-public-beta-vs-mpathic-ai) |
| [Confident AI](https://openaitools.app/tool/confident-ai) | 83,400 | Freemium, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/confident-ai-vs-mpathic-ai) |
| [Dr.Oracle](https://openaitools.app/tool/dr-oracle) | 723,847 | Free Trial | [Compare](https://openaitools.app/compare/dr-oracle-vs-mpathic-ai) |
| [Intelligencia AI](https://openaitools.app/tool/intelligencia-ai) | 3,872 | Contact for Pricing | [Compare](https://openaitools.app/compare/intelligencia-ai-vs-mpathic-ai) |
| [BastionGPT](https://openaitools.app/tool/bastiongpt) | 195,136 | Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/bastiongpt-vs-mpathic-ai) |
| [Artivatic.AI](https://openaitools.app/tool/artivatic-ai) | 2,265 | Contact for Pricing | [Compare](https://openaitools.app/compare/artivatic-ai-vs-mpathic-ai) |

---
Source: https://openaitools.app/tool/mpathic-ai