Radley
Radley is a YC Summer 2026 (S26) company. Based in San Francisco, CA, USA; Remote. Team of 2.
About Radley
Summary
Radley runs an AI-native radiology practice that reads medical imaging studies for hospitals and imaging centers. AI drafts each report before a board-certified radiologist opens the case; the physician reviews, corrects, and signs it, with results, critical-finding calls, and follow-ups handled automatically. The model replaces the traditional radiology group, cutting turnaround from days to minutes and absorbing volume that existing radiologist capacity cannot cover.
Business model
Hospitals and imaging centers send studies and receive signed reports, paying Radley as an outsourced radiology practice.
Go-to-market
Hospitals and imaging centers that face radiologist shortages or backlogs contract Radley directly; onboarding requires no integration project, as Radley connects to the customer's existing PACS and RIS and handles setup.
From the Y Combinator listing
The first AI-native radiology practice
Radley is the first AI-native radiology practice. We're acquiring a radiology practice bringing Radley to $4.3M in annualized revenue and rebuilding it with agents from the ground up. Radiology is already in crisis: there aren't enough radiologists to interpret 1 in 6 medical scans. In 10 years, that gap is growing to 1 in 3 - 246M scans a year. From past experience, we know that point solutions won’t cut it. While there is demand (we have $2.2M in contracts to prove it), bottleneck isn't just software, it's outdated systems and slow, inefficient operations. That's why we own the full stack, clinical and operational, end to end. We met at Carbon Health as we scaled operations 31x and expanded to 100+ clinics. Now we're rebuilding radiology.
Facts
- Healthcare / Healthcare
- San Francisco, CA, USA; Remote
- 2
- Active
- Early
Founders (2)
- Seak Meng Lay
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