We are building
medical superintelligence.
Medical and biological datasets and RL environments for research labs. An AI-native EHR, with custom models inside it, for hospitals and clinics.
Backed by Y Combinator
What we offer
Medical and biological research
For research labs
Novel medical and biological datasets and RL environments designed with specialist clinicians.
Clinical AI and care delivery
For hospitals and clinics
Paid clinical-data partnerships, an AI-native EHR and custom medical AI models for hospitals and practices across Asia. Each is available separately.
Built for local patients
Data from partner clinics helps develop models for the patients they serve. Clinics can use those models on current systems or through the optional Osseus EHR.
Closing the global data gap
Most clinical AI is trained on data from a handful of countries, leaving many patient populations underrepresented. When models are used beyond those populations, accuracy can fall. That makes them less fair, and less effective.
Our partnerships help close that gap: better medical AI, built with and for more of the world.
The EHR rebuilt for medical AI.
- Nearly six hours
- A national study found this much active EHR use for every eight hours of scheduled patient care.Journal of General Internal Medicine, 2024
- One record, not silos
- Notes, scans, labs and history are structured together, so agents can use the context and complete approved tasks.
- Safer model deployment
- Sources and actions stay visible and logged, so models can be tested, monitored and introduced gradually.
Why both sides
Care produces the data. The data produces the models. The models go back into care.
01
Care happens
Clinics run on the Osseus EHR, or connect the record system they already have.
02
The record builds
Consented imaging, notes, labs and outcomes accumulate as one structured patient timeline.
03
Models get trained
Labs license that data and our environments. We train our own specialist models on both.
04
Models go back to work
They deploy into the same clinics under supervision, and real-world outcomes flow back into the record.
