About DeepSensi™
Medical AI that cannot be trusted with a life is not medicine. It is autocomplete. DeepSensi™ exists to change that: the first clinical intelligence with a certified safety floor, an open standard the whole field can build on, and capabilities that do not exist anywhere else.
The breakthrough
Every other medical AI is a language model that predicts the most likely words and hopes they are right. DeepSensi is a verified reasoning system built on one non-negotiable principle. It would rather say I do not know, run this one test than ever invent an answer. That inversion is the breakthrough, and it is what makes the capabilities below possible.
The first, and only, medical AI to publish a formally derived, SIL-4-grade worst-case bound on hallucination (3.23 × 10⁻⁶ per assertion). No competitor publishes one, because no competitor is built to.
A specialist agent for every discipline of medicine, deliberating adversarially, with cross-vendor verification that breaks common-cause failure. A teaching-hospital panel, in seconds.
Structured uncertainty. When evidence is insufficient it says so, and names the single test that resolves it. Safety as a first-class output.
It augments the clinician and never replaces them. And, for the first time, it pays royalties when a physician’s insight helps a patient anywhere on Earth.
GERN turns ordinary clinical notes into physician-level early warning across borders. Public-health surveillance as a privacy-preserving by-product of care.
The Gomola Framework, DSS. The certification standard the whole industry can adopt, including our competitors. The sole requirement is attribution.
The proof
On 301 published NEJM clinicopathological cases, the diagnoses that stump specialists, DeepSensi reaches 93.7% top-3 accuracy with a 0.0% missed-critical rate. We publish the proof, the standard, and the audit. We do not publish the blueprint.
1 Certified worst-case bound 3.23 × 10⁻⁶ per assertion, meeting the IEC 61508 SIL-4 demand-mode target. 2 N=301 NEJM CPC cases (2014 to 2023), development-cohort; a confirmatory study is designated.
The architect
DeepSensi, the Cognitive Medical OS, the Gomola Framework, and the SIL-4-grade anti-hallucination architecture were designed, built, and formally validated by Tomasz Jan Gomoła, Founder and Chief Architect of DeepSensi PBC. Every claim on this site traces to a paper, a derivation, or an auditable result under his name.
The company
DeepSensi PBC is incorporated in Dover, Delaware as a Public Benefit Corporation, legally bound to a purpose beyond profit: verified clinical intelligence for everyone, and a safety standard the whole field can build on, royalty-free. The proprietary reference implementation funds the mission. The standard belongs to medicine.
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