Amigo AI is a New York-based platform that builds and rigorously trains autonomous clinical agents to interact directly with patients across workflows such as intake, triage, personalized care navigation, and continuous support. Each agent undergoes a “digital residency,” running millions of simulated scenarios—weighted toward edge cases—until it achieves a 100 % safety pass rate before touching real patients. In the past six months, Amigo agents have completed more than three million autonomous patient encounters worldwide without a single safety incident, and the system now serves organizations including Eucalyptus, Diverge Health, and The Care Clinic. The architecture mirrors clinicians’ cognitive processes, shares real-time context across multiple agents, and integrates natively with major EHRs like Epic, Oracle Health, and Athenahealth while maintaining HIPAA, SOC 2 Type II, and GDPR compliance. Amigo’s multilingual capability (100+ languages) and ability to extend existing care teams position it to help address the projected 11 million-provider shortfall by 2030. Strategic hires such as Dr. Jay Shah, Chief of the Medical Staff at Stanford Health Care, reinforce its clinical credibility. Financially, the company has raised $17 million to date, including a recently closed $11 million Series A round.

Total raised

$11M

Funding rounds

1

Latest round

Series A

Latest activity

Mar 2026