Paste the case. In minutes, the CrucibleDx engine returns a ranked differential with ICD-10 codes, red flags, and the complete adversarial reasoning trace — every hypothesis challenged by an independent AI from a different provider before it reached you.
Livaramed's physician offering is designed as decision support: the CrucibleDx engine shows you the basis for every recommendation so you can independently evaluate it — structured to align with FDA guidance on clinical decision support software for licensed practitioners.
Seven to nine ranked hypotheses, each with probability framing, supporting evidence citations from the case you provided, and ICD-10 coding.
Emergency-level considerations are extracted and surfaced ahead of the differential — with the specific finding that triggered each one.
The primary analysis, the adversarial critique, and the discrepancy resolution log — every point of disagreement between the models and how the case data resolved it.
The hypothesis list survived independent challenge by a second AI from a different company — anchoring bias and premature closure are attacked structurally, not hoped away.
Recommended next tests are selected to discriminate between leading hypotheses — with the reasoning for each stated explicitly.
Use the web portal for individual cases, or integrate the REST API into your workflow. NPI-verified onboarding; API keys scoped per practice.
The CrucibleDx engine was born from a five-year diagnostic odyssey — a patient whose illness spanned cardiology, GI, gynecology, and psychiatry, and fit cleanly into none of them. It is purpose-built for exactly those cases:
We are onboarding a limited group of physicians ahead of general availability. Early-access clinicians get direct input into the workflow, priority support, and founding pricing.
Request Early Access →Include your name, specialty, and NPI. We verify every clinician against the NPPES registry before activation.
CrucibleDx is designed for licensed healthcare professionals and structured so you can independently review the basis of every recommendation — the case data cited, the reasoning chain, and the points of model disagreement are all disclosed. It does not diagnose patients, does not treat, and is not a substitute for clinical judgment. De-identified processing, field-level AES-256-GCM encryption, and full audit logging throughout. Security architecture →
The physicians most convinced by the engine are the ones who gave it a case they already knew the answer to.
Request Early Access →