Build healthtech that is trustworthy by design.
We work with diagnostics, telemedicine, EHR, and digital therapeutics teams. DPDPA for sensitive health data, HIPAA BAA-readiness for US payors and partners, ABDM (Ayushman Bharat Digital Mission) integrations, and AI/ML that is actually safe to deploy in clinical contexts.
- 01Sensitive health data under DPDPA + HIPAA simultaneously
- 02ABDM (Ayushman Bharat Digital Mission) integration + Health ID handling
- 03Clinical-grade ML/AI without overfitting or hallucination in patient context
- 04EHR / FHIR integration with partner hospitals and payors
- 05Audit + regulatory inspection readiness (CDSCO, state health regulators)
- DPDPA 2023 (India)Sensitive personal data class; consent and breach reporting requirements.
- HIPAA + HITECH (US)PHI handling; BAA required for any US partner; breach notification rules.
- ABDM (NHA) standardsHealth ID, consent manager, health information exchange protocols.
- CDSCO / SaMDSoftware-as-a-Medical-Device classifications for diagnostics and therapeutics.
DPDP for health data
Sensitive personal data handling, consent, breach notification, grievance officer.
Explore →HIPAA BAA-readiness
Architecture, controls, and BAA-ready operating model for US payors and partners.
Explore →EHR / FHIR integration
FHIR-compliant interop, HL7 messaging, partner-hospital integrations.
Explore →Clinical AI development
Safe deployment of ML for triage, diagnostics support, summarization.
Explore →Penetration testing
App + API + mobile testing aligned to OWASP MASVS for clinical apps.
Explore →Can you architect to be HIPAA BAA-ready?+
Yes. We can design the data plane, access controls, audit logging, key management, and operational runbooks to meet HIPAA technical and administrative safeguards. You still need a BAA with each covered-entity partner; we make the diligence easy.
Do you have ABDM integration experience?+
Yes — Health ID issuance, consent manager flows, HIE-CM bridging. We can also help with the empanelment process.
How do you handle AI in clinical contexts safely?+
We design for human-in-the-loop by default, treat models as decision-support (not decision-making), instrument every inference for audit, and build in fallback paths for low-confidence outputs.
What does an audit-ready healthtech engagement look like?+
Typical engagement: 6-week DPDP + HIPAA gap assessment, then a 12-week implementation engagement to close the gaps, then a growth retainer for monthly VAPT + continuous compliance evidence.