Radley: The AI-native radiology practice

The AI-native radiology practice

Radley is the first AI-native radiology practice. We're acquiring a radiology practice bringing Radley to $4.6M 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 While there is demand (we have $2.2M in contracts to prove it), bottleneck isn't just software, it's outdated systems and slow, inefficient operations.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.

Active Founders

Maryam Jahed

Founder/CEO

CEO Founder at Radley. Previously Director of Product at Carbon Health (31x growth to 100+ clinics in 2 years). Head of Product at Midday (exit to Fortune 100 insurer). Co-founded Airo Health (YC-backed mental health AI; six-figure revenue). Built FDA breakthrough-designated CBT chatbot at Woebot. BASc Electrical Engineering, BA Sociology from Waterloo.

Maryam Jahed

Founder/CEO

CEO Founder at Radley. Previously Director of Product at Carbon Health (31x growth to 100+ clinics in 2 years). Head of Product at Midday (exit to Fortune 100 insurer). Co-founded Airo Health (YC-backed mental health AI; six-figure revenue). Built FDA breakthrough-designated CBT chatbot at Woebot. BASc Electrical Engineering, BA Sociology from Waterloo.

Seak Meng Lay

Founder/CTO

CTO Founder at Radley. Founding engineer and later VP of Software Engineering at Carbon Health, where I led engineering as the company scaled 31× to 100+ clinics serving millions of patients. Previously an engineer at Twitter. MIT CS.

Seak Meng Lay

Founder/CTO

CTO Founder at Radley. Founding engineer and later VP of Software Engineering at Carbon Health, where I led engineering as the company scaled 31× to 100+ clinics serving millions of patients. Previously an engineer at Twitter. MIT CS.

Company Launches

Radley: We're building the first full stack, AI-native radiology practice

See original launch post

TL;DR: We're Corgi for Radiology. The first AI-native full stack radiology practice. We’re acquiring a radiology practice bringing us to $4.6M in annualized revenue.

Problem. Radiology is already in crisis. The US needs 20% more radiologists to meet demand, and in 10 years that gap will reach 50% - 246M scans the workforce can’t handle. Agents can finally do most workflows. The industry is not moving fast enough to adopt it.

How we started. Radiology is flooded with AI hype. We started riding that wave. But after digging into how these practices actually run, and drawing on our time scaling Carbon Health to 100+ sites, one thing became obvious: selling a dozen AI point-solutions and rolling them out department by department is too slow, and only adds incremental value. Building the whole practice in a AI-native way from day one is what’s needed. It solves the radiologist shortage directly instead of one contract at a time. This shift grew our market 21x.

Same insight Corgi had in insurance: don't sell software to the incumbent, become the AI-native incumbent.

So now we’re building the entire radiology workflow and business operations AI native and adding capacity without headcount.

https://www.youtube.com/watch?v=vgHtRDCB22Q

Traction:

$4.6M annualized revenue

Why us. We met at Carbon Health as we scaled operations 31x and expanded to 100+ clinics. Now we're rebuilding radiology.

Our ask. Reach out if:

You’re a radiologist who wants to work at and shape an AI-native practice
You can help connect us with an independent or hospital owned imaging centers struggling to keep up with radiology demand
Anyone who's building in AI-native services, we'd love to compare notes

Reach us at founders@radley.health.