OpenEvidence is a startup founded in 2022 by Daniel Nadler that developed an AI-powered search engine and chatbot exclusively for doctors to summarize and simplify evidence-based medical information[1][3]. At the JPM conference, he announced an effort to move toward "medical superintelligence" by creating specialized AI models to support his platform. The firm has entered into a multi-year agreement with JAMA Network to use content from 13 medical journals, including full text and multimedia, to inform responses in a clinical decision system[1]. OpenEvidence is the most used medical search engine among US clinicians, with more than a third of US physicians using it and more than 50,000 verified clinicians registering monthly[1][2]. The platform is active in more than 10,000 hospitals and medical centers in the US, with 40% of physicians logging in daily[1][2]. In July 2024, it supported approximately 358,000 doctor consultations per month, which today is repeated daily[2]. OpenEvidence DeepConsult is an AI agent for analyzing and cross-checking hundreds of peer-reviewed studies for comprehensive research reports[2]. Studies confirm the high accuracy and usefulness of the platform in clinical decisions in primary care[3][4].