OpenEvidence has secured $200 million at a $6 billion valuation to expand its medical AI platform used by physicians at the point of care. The round follows July’s $210 million Series B.
📌 Key Takeaways
- OpenEvidence closed $200M at a $6B valuation, per DealBook reporting.
- Monthly physician consultations reportedly reached ~15M, up from 8.5M in July.
- The platform is active at 10,000+ medical centers across the U.S.
- OpenEvidence says 40% of U.S. physicians log in daily.
- July’s $210M round valued the company at $3.5B.
What The New Round Signals For Medical AI
The financing pushes OpenEvidence into late-stage territory, with capital aimed at scaling clinician workflows and agent features like DeepConsult for literature synthesis and decision support at bed-side.
DealBook coverage frames the raise as momentum for vertical AI tools that embed into clinical routines rather than consumer chatbots. The valuation doubles July’s mark in three months.
Adoption Metrics And Why They Matter
Usage growth is material. Reported consultations climbed from 8.5 million per month in July to ~15 million by October, indicating heavier reliance during real encounters, not sandbox trials.
Breadth matters too. OpenEvidence cites deployment across 10,000+ U.S. hospitals and centers, with 40% of physicians logging in daily, a rare adoption curve for clinical software.
“Blue-chip stuff.” — Daniel Nadler, on sourcing from JAMA and NEJM.
Product And Content Foundations
OpenEvidence integrates peer-reviewed sources, including JAMA and The New England Journal of Medicine, to anchor recommendations in primary literature rather than web summaries or user-generated content.
DeepConsult is positioned for longer research tasks, producing literature syntheses while clinicians manage caseloads. The base search tool returns answers in seconds between patient visits.
Business Model, Investors, And Trajectory
The company’s free-to-clinician approach, supported by advertising, underpins rapid scale without paywall friction at the department level or per-seat contracts.
July’s $210 million round at $3.5 billion included GV and Kleiner Perkins. The latest raise reportedly lifts cumulative funding toward ~$500 million with continued top-tier participation.
Two Stats That Frame The Stakes
In July, OpenEvidence reported 8.5 million logged physician consultations per month. By October, coverage indicates ~15 million monthly, suggesting accelerating reliance at the point of care.
OpenEvidence also claims 40% of U.S. physicians log in daily, highlighting unusual penetration for clinical decision support software.
How This Could Change Clinical Workflows
Richer, vetted sources reduce scavenger hunts across fragmented databases, which historically slowed bedside decisions and guideline updates for multidisciplinary teams.
Agentic research can compress review cycles for complex cases, letting clinicians move from evidence gathering to patient discussions with fewer context switches between systems.
Getting Started If You’re A Verified Clinician
Here’s a simple path to translate the news into practical use when features are available to you.
- Create an OpenEvidence account and verify clinician status to unlock full access.
- Start with point-of-care search for concise, cited answers in seconds.
- Use DeepConsult for longer reviews; schedule runs between patient sessions.
- Save cited outputs to your workflow; align with departmental protocols as needed.
Voices Around The Table
“A life-saving resource for doctors.” — John Doerr, on OpenEvidence’s mission.
“We’re seeing real-world scale in daily clinician use, not just pilots.” — OpenEvidence
Conclusion
The $200 million round at a $6 billion valuation signals investor conviction that clinician-first AI can scale responsibly with cited sources and measurable bedside impact.
Execution now turns on maintaining evidence quality, preserving speed under load, and converting deep adoption into durable outcomes across more specialties and settings.
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