Our founder knows the devastating cost of diagnosis error firsthand. His inspiration for creating Centyent arose from a deeply personal experience: his own son was left with a debilitating, COPD-like condition at the prime of his youth after critical delays and missteps in his initial diagnosis

Witnessing the systematic failures and fragmented data that led to that outcome fueled a profound conviction: health systems must reason better to perform better.

Driven by a mission to prevent others from enduring similar suffering, he created Centyent: A Patient-Centered Platform that delivers explainable AI to help improve diagnosis accuracy, streamline problem lists, and scale clinical intelligence; saving time, cutting clinician burnout, reducing risk, and improving patient outcomes.

We value the expertise clinicians bring to patient care, and our work focuses on supporting that expertise. We have developed a clinical reasoning system that brings greater trust, transparency, and consistency to decision-making. Our aim is to improve the quality of clinical decisions by providing clear, relevant insights at the moment they are needed.

Centyent follows a structured stepwise thought process, mirroring clinical reasoning. It is evidence-based, explainable and continuously learning.

We help clinicians think clearly in a world of information overload.