reflex
Emergency reflex
Bilingual red-flag scan before the model runs.
Experimental · in active testing
A diabetes center, run by AI.
A private, on-premise AI care team for prediabetes and type 2 diabetes. Safe by design, standards-native, and bilingual.
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Safe by design
The model reasons. Deterministic guardrails have the final say.
An emergency reflex checks for red flags before anything runs; guardrails validate dosing and contraindications after; and the rendered reply is re-checked before it reaches you. Every step is auditable.
route
Route
To the right specialist agent.
reason
Reason
A private model grounded in clinical and custom guidelines.
guard
Validate
Dosing, contraindication, and emergency checks.
re-check
Re-check output
The rendered reply, then persist and audit.
The care team
One voice. A whole team.
Doctor
AI care team
Triage Nurse
AI care team
Diabetes Educator
AI care team
Dietitian
AI care team
Pharmacist
AI care team
Behavioral Health
AI care team
Foot-Care Nurse
AI care team
Eye Screening
AI care team
Front Desk
AI care team
Patient Liaison
AI care team
Private by architecture
Nothing leaves the building.
On-prem. No public AI APIs
One private medical model, in-house. Data per tenant, encrypted per patient, tamper-evident audit.
FHIR R4. Coded
ICD-10 and RxNorm on every code field, so it integrates with your EHR instead of replacing it.
Clinical and custom guidelines
Established guidance plus your protocols, feeding agents and guardrails. Cited, never invented.
Real, regional medicines
SFDA, JFDA, and FDA medicines and official leaflets, cited per drug.
Mimics a real centerPrivate · on-premNo public AI APIsDeterministic guardrailsClinical + custom guidelinesReal regional medicinesFHIR R4 · codedICD-10 · RxNormVersioned recordBilingual AR · EN
For clinics and institutions
Run the whole center inside your walls.
Deploy on your own infrastructure. Your patients' data stays yours, it integrates via FHIR, and there is no lock-in.