Healthcare & Life Sciences.

Data & AI for hospitals, health-techs, and diagnostics labs. We build systems for clinical decision support, patient data governance, and diagnostic validation — where accuracy isn't optional.

Research Framework

Privacy-first clinical data pipelines.

Clinical Data Pipeline: Sources through de-identification and consent-gating to research datasets to models and evidence

From EMR, LIS, claims, and device data through privacy-first de-identification and consent gating. Every step is audited. Research datasets are versioned and cohort-ready. Models are evaluated and clinician-reviewed.

Current research:

Clinical decision support with uncertainty

Active research

Building AI systems that explain confidence bounds. Not just predictions — calibrated risk.

Patient data lineage in multi-system environments

Active research

EHR fragmentation is the status quo. We're exploring consent-aware data federation.

Diagnostic AI validation frameworks

Published

How do you validate an AI against radiologist consensus? We're running benchmark studies.

Health economics modeling

Active research

Data-driven cost-benefit analysis for treatment pathways. Focused on Indian health systems.

We partner on clinical and health data problems.

If you're solving a problem that hasn't been solved yet — patient matching across systems, diagnostic validation, cost modeling — let's talk.

Hospitals · Health-techs · Diagnostic labs · Health economics researchers