SimulConsult brings breakthrough reliability to AI on diagnosis and workups

SimulConsult’s Model-Context-Protocol (MCP), based on its leading diagnostic reasoning engine, enables LLMs to perform expert diagnostic reasoning. In tested clinical cases, the MCP adds to the power of both "thinking" and non-thinking models.

Schedule demo

SimulConsult Makes AI Smarter

It Does It by Augmenting the LLM With a Proven Diagnostic Reasoning Engine Paired With a Proprietary Database of Highly Structured Data

SimulConsult’s Diagnostic Reasoning Engine

SimulConsult's Diagnostic Reasoning Engine prioritizes the most likely diseases and recommends the most cost-effective clinical findings and lab tests to reach a diagnosis, including key negative findings that can rule out candidate diseases. This enables LLMs to deliver reliable guidance even for atypical or uncommon edge cases, with tests ranked by cost-effectiveness and clinical treatability.

Rigorously Curated, Proprietary Knowledge Base

SimulConsult maintains a rigorously curated database of over 9,600 diseases, capturing detailed clinical patterns such as onset and finding frequency. Its MCP pairs this expert diagnostic reasoning with LLM fluency to deliver fast, accurate, and consistent guidance, even enabling smaller, lower-cost models to perform at the level of the largest LLMs.

Optimized For Speed and Accuracy

SimulConsult’s MCP enhances both “thinking” and “non-thinking” models to deliver faster, more accurate, and better-prioritized guidance. It elevates smaller models to the performance of the largest ones, reduces costs, and saves clinicians time by prioritizing results and recommending the least costly path to a final diagnosis.

The team

Unique Skills, Shared Objectives, Expert Knowledge

Michael M. Segal MD, PhD

Founder of SimulConsult, Chief Scientific Officer. Holds numerous patents related to the diagnostic reasoning engine. Formerly on the faculty at Harvard Medical School and Children’s Hospital Boston.

Mark Zbikowski

Chief Technology Officer, former Microsoft Architect leading efforts in MS-DOS, OS/2, Cairo and Windows NT. Deep expertise in secure system design and scalable architecture.

Steven Bedrick, PhD

Informaticist with deep expertise in medical language processing, automated analysis of scientific literature and electronic medical record data, and LLM-MCP interactions.

Henry Feldman, MD

Clinical informaticist. Hospitalist, Hospital Medicine, Beth Israel Deaconess Medical Center. Assistant Professor, Clinical Sciences, Center for Surgical Innovation and Education, Tufts University, Cummings School of Veterinary Medicine. Previously led Clinical Development at IBM Watson.

Meet the team

How Can SimulConsult Help You?

Many Ways to Engage, One Single Goal:
Helping More Patients

For AI Vendors

SimulConsult can help your LLM provide more accurate and reliable medical diagnosis. No assembly required.