AI for healthcare that respects the chart

In healthcare the bottleneck is rarely diagnosis — it’s the documentation and administrative load surrounding care. Clinicians spend hours on notes, coding and prior authorizations. An ambient documentation agent that drafts a structured SOAP note from a visit, or a prior-auth bot that assembles the payer packet from the chart, gives time back to people who didn’t train to be typists.

The data is governed by HL7/FHIR standards and wrapped in HIPAA (and India’s DPDP) obligations, so the engineering bar is high: PHI must be minimized, access logged, and every model output traceable. We treat de-identification, audit logging and consent as first-class design constraints, not afterthoughts bolted on before launch.

Front-of-house matters too: patient-facing triage and scheduling agents that route symptoms to the right level of care, multilingual intake that works across India and the World, and RAG over clinical guidelines so staff get answers grounded in your protocols rather than the open internet. Everything is built to assist clinicians, never to autonomously make a clinical decision.