DeepSensi Unveils the World's Preeminent Cognitive Engine for Difficult Diagnostic Cases & Multi-System Illness

Dover, Delaware. DeepSensi PBC today released the Gomola Framework (DSS-001 Platinum), the first quantitative safety-certification standard for clinical artificial intelligence, establishing DeepSensi as the world's preeminent Cognitive Engine for difficult diagnostic cases, refractory multi-system illness, and decentralized clinical research.

Clinical AI has historically been deployed at the bedside without a quantitative reliability requirement. Aviation certifies against DO-178C; nuclear engineering against IEC 61508; medicines against Phase III trials. Generative clinical AI, whose dominant failure mode (hallucination) produces fluent and clinically disastrous falsehoods, has had no equivalent. The Gomola Framework defines four graded certification levels by explicit per-assertion hallucination-probability bounds, organized around five independently auditable pillars.

Key results and capabilities:

• The World's #1 Difficult Cases Engine & Inter-Specialty White Space. Over 80% of diagnostic odysseys and treatment-resistant diseases fall through the cracks between medical specialties. DeepSensi's core intelligence layer synthesizes multimodal biomarker tensors across its deterministic cognitive architecture to turn intractable dead ends into deterministic root-cause remissions.
• A quantified safety architecture. Safety architecture designed to a SIL-4-class target, quantified by the Company's own fault tree analysis under IEC 61025 across 23 independent barriers. No accredited third party has certified it. The full method: deepsensi.com/safety-architecture.
• Elite diagnostic performance on the hardest public cases. On 301 NEJM Clinicopathological Conference cases (2014-2023), safety-first calibration sharply reduced missed-critical findings; the full results are on our Science page. Deliberation completes in approximately 2 minutes for typical complex cases to a few minutes for massive multi-omic tensors.
• Immediate Ward Chief & Clinic Fast-Track. Hospital department heads and attending physicians can submit a single complex patient record with direct identifiers removed and receive an exhaustive multidisciplinary second consilium upon evaluation with zero hospital IT integration and zero legal liability.
• Vendor independence & LIMBO protocol. DeepSensi is not a wrapper on any single model; it cross-examines multiple frontier models from independent vendors. The LIMBO protocol produces an explicit uncertainty declaration (naming the disagreement, a working hypothesis, and the resolving tests) instead of a confident guess.
• 11 Precision Medicine Suites & 9 DCT Registries. DeepSensi spans 11 specialized clinical intelligence suites and 9 global decentralized clinical trial registries (EPI, NEURO, IMMUNO, ONCO, METABO, CARDIO, RARE, ENDO, MIND), generating Real-World Evidence and Synthetic Control Arms without site-based friction.

Regulatory status with the US FDA: FDA Pre-Submission (Q-Sub) submitted July 31, 2026 (FDA docket Q262487). DeepSensi is clinical decision support (CDS) software for licensed physicians, designed to meet the non-device criteria of section 520(o)(1)(E) of the FD&C Act. Regulatory status: deepsensi.com/regulatory.

"A safety standard behind a paywall is not a standard. It is a product," said founder and chief architect Tomasz Jan Gomoła. "Medicine is departmentalized; human biology is not. We publish the proof, the standard, and the audit, and we invite the global medical community to verify them."

Technical documentation: www.deepsensi.com/papers
Press and auditor access to research protocols: [email protected]

About DeepSensi: DeepSensi PBC is a Delaware Public Benefit Corporation building verified clinical intelligence: a Cognitive Engine that surrounds AI with an auditable verification architecture. The Gomola Framework and DeepSensi Standard (DSS-001 Platinum) are open and royalty-free; the reference implementation is proprietary. Founder and chief architect: Tomasz Jan Gomoła (ORCID 0009-0001-5222-6154).