For hospitals and clinics
Specialists, not generalists
in a white coat.
A frontier model that has read the literature is not the same as one that has practised. We train on records that close and environments that grade, then adapt the model to your protocols, formulary and population.
Capabilities
Where a specialist model earns its place.
Screening at scale
Diabetic retinopathy from a fundus photograph, tuberculosis and nodules from a chest X-ray. One camera and one model put a screening programme in a clinic with no specialist in it.
Endoscopy and imaging
Polyps and early gastric lesions flagged during the procedure, incidental findings tracked to follow-up, reports drafted against the prior study.
ECG and waveforms
Atrial fibrillation, conduction disease, and the structural problems a trace carries but a human reader cannot see in it.
Chronic disease
Titration for diabetes and hypertension, hepatitis B and kidney disease surveillance, and the recall nobody chases. The model reads years of record, not the last visit.
Triage and referral
Who needs a specialist, who needs one this week, and who is safe in clinic. Trained on what happened to the patient next rather than on the guideline.
Medication safety
Renal dosing, interactions and polypharmacy in older patients, checked as the prescription is written.
Deployment
The data never has to leave.
- Wherever the data has to stay
- On-premise, inside your own cloud tenancy, or quantised at the clinic edge for sites with intermittent connectivity.
- Supervision by default
- Every output is attributable, reviewable and overridable. Autonomy is earned per task, per site, in public.
- Monitoring you share
- Drift, calibration and override rates on a dashboard owned jointly with your clinical governance lead, with agreed rollback triggers.