An Impartial Laboratory For Data and AI.

All engagements operate under a data processing agreement suited to your regulatory environment — a BAA in healthcare, equivalent frameworks elsewhere. We use industry-standard de-identification methods with documented re-identification risk assessments regardless of domain.

Yes — we integrate with the systems of record you already run, whatever the domain: EHRs in healthcare, or their equivalents elsewhere. If you don't have an interoperability layer, we can stand one up.

Whichever is right for the problem. We fine-tune and train where data and risk justify it; we use frontier APIs (with proper data agreements) where they're the better tool. Either way you get the evaluation evidence to back the choice.

A two-week Discovery, an 8–12 week pilot, and — if outcomes hold — a Pod engagement that scales the program. We commit to a no-fault exit at the end of each phase.

We publish methodology and tooling where it's ours to publish, and we open-source the parts that benefit the broader ecosystem — never client data or differentiated IP. We'll always tell you what we'd like to share before we share it.