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Healthcare & life sciences

Clinical, claims and research data in one platform — without putting PHI at risk.

We build lakehouses where protected health information is masked, logged and access-controlled by design, so analysts and AI can use the data safely.

The data problems we see

In healthcare & life sciences, the same four issues come up

PHI spread across copies nobody tracks

Extracts of patient and member data sit in shared drives, sandboxes and vendor systems, each one a breach and audit risk.

EHR, claims and lab data never line up

HL7, FHIR, X12 and flat-file feeds use different identifiers and codes, so joining a patient's journey takes weeks of manual work.

Validated pipelines that cannot change

GxP systems are so expensive to revalidate that research teams work around them with spreadsheets.

AI pilots blocked by compliance

Teams want GenAI on clinical notes and documents, but nobody can show how PHI is protected end to end.

Regulation

Rules that touch your data

We design controls for these from the start, so audit evidence is a by-product of how the platform runs.

HIPAA & HITECH
Privacy and Security Rule safeguards for PHI: minimum necessary access, audit logging, encryption and business associate agreements.
21 CFR Part 11
Electronic records and signatures in FDA-regulated work: audit trails, validation and access control.
GxP
Good practice guidelines for clinical, laboratory and manufacturing data: validated systems and documented change control.
GDPR
Health data is special-category data under GDPR, with stricter conditions for processing in EU trials and operations.

Use cases

What we build

  1. 01

    PHI-safe lakehouse

    Masking, tokenisation, row-level security and audit logging applied automatically to every dataset containing PHI.

  2. 02

    Patient and member 360

    EHR, claims, lab and engagement data joined on resolved identities with standard terminologies.

  3. 03

    Research and real-world evidence data

    Curated, de-identified datasets for outcomes research and trial feasibility, with lineage for reviewers.

  4. 04

    GenAI on clinical and operational documents

    Permission-aware retrieval over notes, policies and prior authorisations with PHI controls enforced at query time.

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