Hippocratic AI
by Hippocratic AI
Safety-focused generative AI healthcare agents for patient-facing care
Hippocratic AI builds safety-focused, non-diagnostic generative-AI healthcare agents that conduct patient-facing calls for tasks like appointment scheduling, care-management follow-ups, screening outreach, and post-discharge support. It is built for health systems, payors, and pharmaceutical companies.
Hippocratic AI develops generative-AI 'healthcare agents' designed for safe, non-diagnostic patient interactions — the company explicitly states it does not diagnose or prescribe. Its agents make and take patient calls for appointment scheduling, care-management and post-discharge follow-ups, screening outreach, and more, across specialties like cardiology, oncology, and primary care, with multi-language support. The system is powered by Polaris, a constellation architecture in which specialized support models increase medical accuracy and safety, built on 200M+ patient interactions, and it offers 1,000+ specialized clinical agents plus products such as an 'AI Front Door' and 'Nurse Co-Pilot.' Hippocratic AI says it is clinically validated on outputs, tested with 7,500+ US-licensed clinicians, and has completed 115M+ clinical patient interactions with no reported safety issues, holding HIPAA and SOC 2 compliance. It works with 50+ health systems, payors, and pharma clients across six countries — including WellSpan Health, OhioHealth, Cincinnati Children's Hospital, Cleveland Clinic, and Ochsner Health. In November 2025 it raised a $126M Series C led by Avenir Growth at a $3.5 billion valuation, bringing total funding to $404 million.
At a Glance
- Category
- Industry & Government
- Pricing
- Contact for pricing
- Target Market
- Health Systems, Payors / Insurers, Pharmaceutical Companies, Chief Medical Information Officers
- Customers
- 50+ health systems, payors, and pharma across 6 countries
Key Features
- ✓Polaris constellation model
A multi-model architecture built on 200M+ patient interactions where specialized support models increase medical accuracy and safety.
- ✓1,000+ clinical agents
A library of specialized, non-diagnostic agents for different clinical scenarios and specialties.
- ✓Safety-first design
Agents do not diagnose or prescribe and are clinically validated with 7,500+ US-licensed clinicians.
- ✓Patient-facing voice calls
Conducts multilingual patient phone interactions for scheduling, follow-up, and outreach.
Capabilities
Use Cases
- •Post-discharge follow-up
Agents call recently discharged patients to check on recovery and flag issues to clinicians.
- •Care-management outreach
Automated calls support chronic-care and screening programs at scale.
- •Appointment scheduling and access
The AI Front Door handles patient access tasks like scheduling and intake.
Ideal For
Best For
- ✓Patient outreach and appointment scheduling
- ✓Care-management and post-discharge follow-up
- ✓Screening and preventive-care outreach
Market & Ratings
50+ health systems, payors, and pharma across 6 countries
Market Analysis
Pros
- ✓Safety-first architecture validated by thousands of clinicians
- ✓Proven scale with 115M+ patient interactions
- ✓Backing from major health systems and top-tier investors
Cons
- ✗Deliberately limited to non-diagnostic tasks
- ✗Enterprise-only, non-transparent pricing
Pricing
Enterprise
Contact for pricing
- ✓Specialized clinical AI agents
- ✓HIPAA / SOC 2 compliance
- ✓Health-system deployment and support
Pricing is not publicly disclosed; Hippocratic AI sells enterprise deployments to health systems, payors, and pharma.
Sources
This page was written from 2 sources, 1 on domains other than hippocraticai.com.
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