AI That Transforms Healthcare Operations.

Every system we design is compliance-first. For US deployments, we build to HIPAA Privacy and Security Rule requirements, with BAAs where required. For India, we align with DISHA and ABDM standards. For UAE, we design to DHA and HAAD regulatory requirements. All infrastructure uses encrypted, region-appropriate cloud services with dedicated environments.

We target 8-12 weeks from kickoff to go-live for most healthcare AI systems: a 2-week MAP audit, 4-6 weeks of build and integration, then 2-4 weeks of PROVE-phase parallel testing before cutover. Timelines are agreed upfront, not discovered later.

Yes. We build integrations with major EHR and practice management systems including Epic, Cerner, Athenahealth, eClinicalWorks, and others via FHIR APIs and HL7 interfaces. For India-based systems, we support ABDM-compliant integrations.

Our AI triage system uses trained NLP models to assess patient-reported symptoms, cross-reference clinical guidelines, and assign urgency levels. It routes patients to the appropriate care pathway — whether that's an immediate consultation, a scheduled appointment, or self-care instructions — while keeping clinicians in the loop for edge cases.

We won't quote you someone else's numbers. In the MAP phase we agree on concrete targets — like no-show reduction, triage speed, and admin automation — for your specific operation, then measure against them in the PROVE phase. Every system ships with the instrumentation to verify its own performance.