Help us build the patient operations layer
radiology deserves.
We're hiring a small, senior team. If you've worked in healthcare and tech and have opinions about how this should work, we want to hear from you.
Small team. Real customers. Calm.
We are a small team. We will stay small for a long time. Every hire moves a needle, usually one you can name from your first month.
We work with real customers from day one. There's no internal lab. The thing you ship is the thing the radiologist hears at 11pm. That focus shapes every decision.
We are calm. We don't ship at 2am because of a self-imposed deadline. We don't take meetings about meetings. We don't expect anyone to be on Slack on a Sunday.
Currently hiring.
Translate real radiology workflows into triage protocols the agents can follow safely, the bridge between clinic and code.
Own the customer relationship from signed contract to renewal, make every radiology network a reference customer.
Take clinics live, telephony porting, PMS/RIS integration, protocol configuration, and calm, on-time go-lives.
Design the surfaces where clinics meet their AI workforce, the console, the dashboards, and the conversations themselves.
Don't see your role? If you've shipped a healthcare product, built voice AI in production, or led clinical implementations, we still want to talk. Use our contact form.
From the blog
What we are learning, written down.
- What can AI agents actually do in radiology?Not AI reading scans. What an AI agent actually does across reception, booking, referrals, capacity and follow-up, and what it must never touch.
- We called 100 radiology practices after hours. Here is what answered.Original research: the same 100 radiology practices, rung on Sunday evening. Not one reached a person, and eleven were answered by an AI agent.
- We called 100 radiology practices. Here is what we found.Original research: we rang 100 Australian radiology practices and timed every call. Eight reached a person straight away; the median wait was 90 seconds.