We are pointing our method at clinical decision support, diagnostics, and triage: answers a clinician can trace to a guideline or a study, and a system that declines when the evidence is not there. We are looking for a few design partners.
Decision-ready answers a clinician can defend, with every claim traceable to its source.
Tied to clinical guidelines, validated scores, and peer-reviewed studies, with the source shown, not the model's memory of medicine.
On a call it cannot support, it declines rather than guess. In medicine, the confident wrong answer is the dangerous one.
Provenance and calibrated confidence on every output, so it holds up in front of a clinician and a regulator.
Answers trace to clinical guidelines, validated scores, and peer-reviewed studies a clinician can open, each with a confidence estimate. When the evidence is thin, the system withholds rather than produce a plausible-sounding diagnosis.
This field is still in research, but the underlying method is in production today in biotech. Run unsupervised on a real 1,514 × 1,055 E. coli compendium, it recovered the known L-rhamnose regulon (55 of 60 components robust, confirmed against the iML1515 reference) in about two seconds. See it working on the FluxPilot page.
Healthcare is active research, not a shipped product. Our one product in production today is in biotech. If this is your field and you want to shape it as an early design partner, tell us below.
Tell us the clinical problem. We work with a small number of design partners per field before anything ships.