Hippocratic AI

Hippocratic AI builds safety-focused generative AI agents for healthcare, handling patient-facing tasks like follow-up calls and care navigation with clinical-grade reliability.

Overview

Hippocratic AI focuses narrowly on non-diagnostic patient-facing work, where empathy and reliability matter more than raw capability. Its agents make follow-up calls, explain discharge instructions, schedule care, and check on patients between visits, speaking with warmth that testing suggests patients rate highly. The company’s safety emphasis includes rigorous testing against medical benchmarks, a model constellation design, and a supervised agent registry where clinicians review agent behavior. Healthcare systems deploy Hippocratic agents to extend care capacity without extending staff hours, particularly for the repetitive outreach that improves outcomes but rarely gets done consistently. Because the company deliberately avoids diagnosis, deployment risk stays bounded while the operational value of reliable outreach is captured. Hippocratic works closely with health systems and partners on evaluation, publishing its safety approach and inviting external scrutiny in a field where trust determines adoption speed. The company publishes safety evaluations openly and works with clinicians to supervise agent behavior continuously, treating trust as infrastructure that must be built before capability is expanded.

Key Features

• Patient outreach agents for follow-up, navigation, and check-ins
• Empathetic conversational quality tested with real patients
• Supervised agent registry with clinician review of behavior
• Safety-focused architecture deliberately excluding diagnosis
• Scheduling and instruction-delivery integrations with health systems
• External evaluation partnerships that keep safety claims independently verifiable

Pricing

Hippocratic AI contracts directly with healthcare organizations, pricing typically around the outreach work performed. Engagements include safety review, integration with scheduling systems, and ongoing performance monitoring.

Who Is It For

Health systems and provider groups that need reliable patient outreach at scale, and care-management teams whose follow-up programs are limited by staff capacity rather than clinical knowledge. It suits organizations cautious about generative AI in medicine that want to start with clearly bounded, high-value work before expanding scope.