
Healthcare
|
Primary Care
|
YC W26
|
Valuation:
Undisclosed

Last Updated:
March 24, 2026

Builds AI agents for primary care that automate value-based care workflows including quality gap closure, risk adjustment coding, and patient outreach, directly within existing EHR systems. Live deployment with an IPA supporting 40,000 patients.
Live deployment with an IPA supporting 40,000 patients. AI agents handle quality gap closures, risk adjustment, and patient outreach directly within EHR systems. Mission is to bring joy back to primary care by automating administrative burden.
Beacon Health's early traction (40K patients) positions them well for expansion to more IPAs, ACOs, and value-based care organizations. Likely raising seed post-Demo Day with strong clinical validation. Accel and Sequoia scout involved per external reports.
AI agents autonomously identify and close care quality gaps within the EHR to maximize value-based care performance scores.
An AI assistant constantly scans patient records and automatically takes action to close care gaps—like ordering overdue labs or scheduling screenings—so nothing falls through the cracks.
It's like having a tireless medical assistant who never forgets a single patient's overdue checkup and books it before anyone even asks.
AI agents autonomously identify and close care quality gaps within the EHR to maximize value-based care performance scores.
An AI assistant constantly scans patient records and automatically takes action to close care gaps—like ordering overdue labs or scheduling screenings—so nothing falls through the cracks.
It's like having a tireless medical assistant who never forgets a single patient's overdue checkup and books it before anyone even asks.
AI agents autonomously handle after-hours patient inquiries, triaging symptoms and routing urgent cases while automating routine follow-up outreach.
An AI nurse-line that never sleeps—it answers patient questions after hours, tells them if they need the ER or just a next-day appointment, and follows up automatically.
It's like a calm, knowledgeable nurse who picks up the phone at 2 AM, checks your chart, and tells you exactly what to do—without ever yawning.
Mark Pothen grew up inside a primary care practice, giving visceral understanding of physician pain points. Obinna Akahara (Physics at UT Austin) has production AI experience in healthcare. They can build agents that work within existing EHR workflows rather than requiring practices to adopt new systems.