Solutions · Research & evidence

Research & evidence.

Your product is the data. On GoldenI it's research-grade by construction — every encounter, result, and dose recorded research-ready from the first write, with patient consent bound to it and enforceable after the fact.

Where you'd startTRIBUTIS + the clinical streams + SPECIMIS

Research-grade by construction — research-ready from the first write.

For organizations whose product is dataBuilt on CORE
Research & evidence

Clinical research & CROs

Most of a study's timeline disappears into assembling and cleaning data that was captured for care, not for research. On GoldenI the data is research-grade the moment it's written, so cohort discovery becomes a query you run against the live record rather than a data-assembly project you have to staff and wait on. Provenance travels with every data point — who recorded it, when, under what consent — so the lineage a monitor will ask for is already attached. TRIBUTIS turns the clinical event streams into a research substrate, so the work can begin at analysis instead of at reconstruction.

Research & evidence

Pharma & biotech data teams

Real-world evidence usually arrives as data that has to be cleaned, mapped, and defended long after it was recorded. On GoldenI clinical events are captured in a form aligned with FDA real-world evidence guidance at the source — structured, provenanced, and consent-bound as they're written, not reshaped to fit once a study is designed. Because the record is append-only and every point carries its own lineage, the evidence trail a reviewer expects is the same trail that ran the care. TRIBUTIS gives your RWE work a source that was built to be evidence, rather than one that has to be turned into it.

Research & evidence

Academic research

When one researcher works across two studies, the risk is that a subject in one quietly becomes identifiable in the other. GoldenI issues study-scoped identities that carry no mathematical link back to the person or across studies — even the same researcher on two teams sees two unrelated subjects. Consent is bound to the data and enforced as it's used, so a subject's boundaries hold at query time, not only in the protocol document. TRIBUTIS lets an IRB approve a study knowing the separation is a property of the architecture rather than a promise about how researchers will behave.

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