Clinicians do not need another dashboard. They need ninety minutes of their evening back — and that is exactly the problem AI in healthcare is finally solving in production.

Where we work

Hospital systems, multi-specialty clinics, diagnostic chains, payors, and digital-health platforms. India work includes ABDM-aligned data architecture, multilingual patient-facing applications, and revenue-cycle work for chain hospitals operating under both private and government schemes.

Where AI changes the economics

• Ambient documentation. Physician-encounter transcription and SOAP-note generation with EHR write-back. Hours of after-hours charting collapsed; documentation quality goes up, not down.
• Imaging triage. Worklist prioritisation for radiology and pathology, second-read on routine studies, never the final read on a regulated diagnostic decision.
• Revenue-cycle automation. Claim coding suggestions, prior-auth packet assembly, denial-appeal drafting. Lower days-in-AR, fewer write-offs, audit-traceable decisioning.
• Patient-facing copilots. Multilingual triage, appointment navigation, post-discharge follow-up — grounded in your clinical protocols, not internet medical advice.
• Operational forecasting. OR scheduling, bed management, staffing — the operations problems hospitals run on spreadsheets today.

Regulatory architecture

Any AI we ship in healthcare maps to its regulatory class before we write code. Decision-support that influences a diagnostic call is a regulated device — FDA SaMD or CDSCO — with predetermined change control (PCCP) and post-market surveillance baked in. Documentation, triage, and operations AI lives outside the device boundary but still inside HIPAA, DPDPA, and ABDM consent.

We do not blur the line between informational and diagnostic. The line is the product.

What we will not do

Ship a diagnostic AI without the regulatory pathway. Train on patient data without explicit consent and de-identification at the layer the regulator expects. Replace clinical judgement with a model output that the clinician cannot interrogate.

What you get

Documentation, operations, and triage AI that runs inside your compliance perimeter, integrates with your EHR (Epic, Cerner, MEDITECH, or Indian HMS), and gives back clinician time as the measured outcome. Where the work is regulated, we build it to the regulator’s specification — not around it.