Amigo AI, a platform that builds and trains patient-facing clinical AI agents, announced it has raised $11 million in a Series A funding round led by Madrona, with participation from Optum Ventures. The company has now raised $17 million in total funding, including a seed round co-led by General Catalyst and GSV Ventures.
The New York-based company develops AI agents designed to interact directly with patients across a range of healthcare workflows, including intake, triage, personalized care navigation, and 24/7 patient support. By automating high-value clinical tasks, Amigo aims to help healthcare providers improve patient outcomes while expanding the capacity of existing care teams.
Amigo’s approach centers on training AI agents with a methodology modeled after physician training. The company uses a proprietary “digital residency” system in which agents are trained across millions of simulated clinical scenarios tailored to a healthcare organization’s patient population before interacting with real patients.
According to the company, the training simulations intentionally emphasize adversarial and edge-case scenarios, with agents continuously evaluated and improved across metrics such as accuracy, empathy, and harm prevention until they achieve a 100% safety pass rate. The system is designed to mirror the cognitive processes used by clinicians, including the recall of patient history and the escalation of complex cases when necessary.
In the past six months, Amigo’s agents have completed more than 3 million patient encounters globally without reported safety incidents. The platform currently supports healthcare organizations, including Eucalyptus, Diverge Health, and The Care Clinic.
Amigo’s architecture also enables multiple AI agents to collaborate within a connected platform that shares unified patient context in real time. The company says this allows healthcare organizations to automate complex team-based workflows without relying on fragmented point solutions.
The funding comes as healthcare systems face growing workforce shortages. Industry projections estimate that the global health worker shortage could reach 11 million by 2030, increasing demand for technology that can safely expand access to care.
Amigo also announced the appointment of Dr. Jay Shah, Chief of the Medical Staff at Stanford Health Care, as Chief Medical Advisor. The company’s platform integrates with major electronic health record systems, including Epic, Oracle Health, and Athenahealth, and supports deployments in more than 100 languages with HIPAA, SOC 2 Type II, and GDPR compliance.
KEY QUOTES:
“We train our agents like doctors because mistakes can cost lives in healthcare. No agent should interact with a real patient until it’s been rigorously trained and proven safe.”
Ali Khokhar, Founder And CEO, Amigo AI
“Amigo is addressing one of the hardest problems in healthcare AI, deploying autonomous systems where trust and safety are non-negotiable. Their simulation-first approach to clinical safety positions them to define the standard for patient-facing AI.”
Sabrina Albert, Partner, Madrona
“In my 23 years of practicing medicine, I’ve watched the demand for care outpace our ability to deliver it. Amigo’s approach of training agents with the same rigor we expect of clinicians means they can operate at the standard I’ve seen at Stanford, Columbia, and MD Anderson.”
Dr. Jay Shah, Chief Medical Advisor, Amigo AI; Chief Of The Medical Staff, Stanford Health Care
