Sector
Healthcare & life sciences
Clinical and research data platforms where correctness, provenance and access control matter more than throughput — and where the data outlives the system holding it.
The detail
Clinical data has a longer half-life than any platform you will build for it. The schema you choose is one that somebody will still be querying after the vendor, the cloud account and possibly the company are gone, which makes provenance and interoperability an architectural decision rather than an integration detail.
We build around the standards instead of beside them: FHIR resources as the interchange contract, terminology bindings that are validated rather than assumed, and event sourcing where the clinical record has to be reconstructible at any point in time. De-identification pipelines are built so the re-identification risk is a stated, reviewed number, not a hopeful one.
Access control gets the same treatment. Role and purpose-of-use are enforced at the data layer rather than in the UI, every read of a patient record is attributable, and break-glass access is a designed path with review attached.
Typical engagements: research data platforms, FHIR interoperability layers, de-identification and cohort tooling, and hardening a clinical system that grew organically into something nobody wants to touch.