How we help
Healthcare software fails for predictable reasons: it can't talk to the systems already in the building, it collects data it isn't allowed to hold, or it adds clicks to a clinician's day rather than removing them. We start by mapping the clinical workflow and the data boundaries before designing anything.
Interoperability is the hard part, and it's mostly unglamorous. Most provider estates run a mix of HL7 v2 message feeds and newer FHIR R4 APIs, with imaging sitting behind DICOM and a lab system that speaks neither well. Getting a patient portal, a telehealth flow, or an AI assistant to work end-to-end means handling all three, plus the identity matching that decides whether two records are the same person.
In India, the Ayushman Bharat Digital Mission (ABDM) adds ABHA identity and consent-manager flows on top of that, and the DPDP Act 2023 changes what consent has to look like. If you're building for both Indian and international markets, those obligations need designing in from the start rather than retrofitted.
For AI specifically, we treat clinical use as high-stakes by default: retrieval grounded in your own approved sources, citations on every answer, a confidence threshold that escalates to a human, and an audit trail that shows who saw what and when. An assistant that's right 95% of the time without showing its working is not deployable in a clinical setting.
Challenges we solve
- HIPAA, GDPR and India's DPDP Act obligations in one product
- HL7 v2, FHIR R4 and DICOM all in the same estate
- Patient identity matching across fragmented records
- Clinician time lost to documentation and manual handoffs
- Audit and consent trails that stand up to scrutiny
Standards & regulations
Systems we integrate with
Solutions for healthcare
Telehealth & patient portals
Secure virtual care, scheduling, and records access — with consent capture and access logging built into the flow, not bolted on.
EHR/EMR interoperability
HL7 v2 and FHIR R4 integration, DICOM for imaging, and the identity-matching logic that makes one clinical picture out of several systems.
Clinical AI assistants
Documentation, triage, and knowledge copilots grounded in your approved sources, with citations, confidence thresholds, and human escalation.
Governed health analytics
Population health and risk dashboards built on a governed data layer, with de-identification where the use case allows it.
Services for this industry
Tell us what you're trying to build
A 30-minute call, free and with no pressure. You'll leave with a clearer view of scope, cost, and timeline — whether or not you work with us.