Vera Health is a clinical decision-support search engine built on a retrieval-first architecture. Rather than generating an answer and then looking for citations to support it, the platform searches a corpus of over 60 million peer-reviewed papers first, applies evidence-grading logic, and then synthesizes a response where every key statement links to its source. In our testing, this approach produced noticeably fewer unsupported claims than competitors that rely on generation-first models.
The platform covers the core clinical workflows we evaluate: differential diagnosis, treatment comparison, drug dosing and contraindication checks, and clinical risk score calculation. A Deep Dive mode provides extended literature analysis for complex cases, and physicians can upload documents — lab reports, discharge summaries, imaging — for source-grounded analysis.
Vera Health's advisory board includes Scott M. Silvers, MD (former Chair of Emergency Medicine at Mayo Clinic), Bernard P. Chang, MD, PhD (Associate Dean at Columbia University), and Christopher W. Baugh, MD, MBA (Harvard Medical School). The platform was founded in 2024 by a team from MIT, HEC Paris, and Yale, and is free for licensed clinicians and trainees with unlimited searches.