OpenEvidence
Also known as: DeepConsult, OpenEvidence Visits
The most widely used clinical AI platform for US physicians (757K+ verified doctors, 20M+ monthly consultations), now agentic via DeepConsult multi step clinical reasoning, valued at $12B with models trained on 35M+ peer reviewed publications.
OpenEvidence is the most widely used clinical decision support platform among US physicians, with 757,000+ verified doctors, more than 40 percent of US physicians using it daily, and over 20 million clinical consultations per month. Founded in 2022 by Daniel Nadler and Zachary Ziegler, its specialized models are trained on 35M+ peer reviewed publications with content licensing partnerships including NEJM and JAMA, citing evidence for every answer.
The platform has expanded from search into agentic and documentation workflows: DeepConsult, its first AI agent purpose built for physicians, handles multi step clinical reasoning tasks that combine hundreds of studies into research grade reports, while OpenEvidence Visits produces clinical documentation and OpenEvidence 2.0 added prior authorization letters, ICD-10 suggestions, order set recommendations, and discharge summary drafting. Free ad supported access for NPI verified clinicians; enterprise deployments (Epic and Cerner integration, custom knowledge bases, SOC 2 Type II) monetize per seat. Valued at $12B as of January 2026 with roughly $700M raised.
Vendor details
Canonical URL
https://www.openevidence.com
Category
Healthcare agent
Funding status
$700M+ total at $12B valuation; $250M Series D Jan 2026 (Thrive, DST) after $200M Series C at $6B Oct 2025 (GV); backers include Sequoia, Nvidia, Kleiner Perkins, Blackstone, Mayo Clinic
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
FHIR based Epic pilots and enterprise EHR integration (Epic, Cerner); Cedars-Sinai deployment queries literature tailored to individual patient profiles pulled from the EHR without storing patient data.
Sources & related URLs
Research sources
Agentic Index coverage score
6.0 / 14 capabilities · 43%
| Integrations & Tool Calling | Partial |
|---|---|
|
FHIR based Epic pilots and a Cedars-Sinai deployment pulling patient profiles from the EHR, but EHR integration remains early relative to the standalone app footprint, Sacra research 2026-07-22 |
|
| Workflow Orchestration | Partial |
|
DeepConsult handles multi step clinical reasoning tasks and workflow modules cover order sets and discharge drafting, but automation is clinician assistive rather than cross system orchestration, Sacra research 2026-07-22 |
|
| Knowledge Grounding & RAG | Full |
|
Specialized models trained exclusively on 35M+ peer reviewed publications with NEJM and JAMA licensing partnerships and cited evidence on every answer, the platform's flagship architecture, OpenEvidence materials 2026-07-22 |
|
| Human Oversight & Guardrails | Partial |
|
Physician only decision support posture with cited evidence for verification and a stated no hallucination policy, but the platform advises rather than acts so no approval framework applies, OpenEvidence materials 2026-07-22 |
|
| Security, Identity & Governance | Full |
|
HIPAA compliance with SOC 2 Type II reported for enterprise deployments, NPI verification gating access, and patient data not stored in the Cedars-Sinai integration, OpenEvidence materials 2026-07-22 |
|
| Observability & Auditability | Partial |
|
Every answer carries citations to source literature enabling verification, with enterprise analytics and admin tools; no per action audit console documented, OpenEvidence materials 2026-07-22 |
|
| Memory & State Persistence | Unable to verify |
|
No documented persistent agent memory; the Cedars-Sinai deployment explicitly does not store patient data, OpenEvidence materials 2026-07-22 |
|
| Deployment & Data Residency | Partial |
|
SaaS and mobile with enterprise deployments including priority compute and custom knowledge bases; no self host documented, OpenEvidence materials 2026-07-22 |
|
| Prebuilt Agents, Templates & Packs | Partial |
|
Product suite spanning search, DeepConsult, Visits documentation, and workflow modules; product modules rather than an agent library, Sacra research 2026-07-22 |
|
| Triggers & Channel Coverage | Partial |
|
Clinician initiated queries across mobile and web with DeepConsult running longer asynchronous research tasks; no autonomous trigger machinery documented, OpenEvidence materials 2026-07-22 |
|
| Model Flexibility & Routing | Partial |
|
Multi AI agentic architecture with smaller specialized models is documented, though customers do not choose or route models, Fierce Healthcare and review materials 2026-07-22 |
|
| APIs, SDKs & MCP Extensibility | Unable to verify |
|
No public developer API, SDK, or MCP surface documented, OpenEvidence materials 2026-07-22 |
|
| Testing, Debugging & Optimization | Unable to verify |
|
No customer facing testing or evaluation tooling documented, OpenEvidence materials 2026-07-22 |
|
| Browser & Computer Use | Unable to verify |
|
Operates as a clinical knowledge and reasoning platform, not browser or computer interface control, OpenEvidence materials 2026-07-22 |
|
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
OpenEvidence introduced a new family of medical AI models, including Osler, Sackett, and Snow, which offer varying levels of research depth and response speeds for clinicians. The company also integrated a precision oncology knowledge base into its specialized oncology AI sub-agent to provide genomic interpretations.
Bears on: Agent capability
View sourcePricing
Free for verified clinicians
What is public
The free tier is fully public: verified US clinicians get core search, literature summaries, and the DeepConsult agent at no cost, ad supported (reported CPMs of $70 to $1,000+ fund it). Enterprise per seat pricing for health system deployments is not published.
Variable cost rationale
Individual clinicians pay nothing; health system cost is per seat enterprise scoping with EHR integration and custom knowledge bases, undisclosed publicly.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free ad supported tier for NPI verified clinicians
Related vendors
- Abridge — Enterprise ambient AI documentation platform, Best in KLAS 2025 and…
- Adonis — AI orchestration platform for revenue cycle management whose…
- AKASA — Generative AI for the healthcare revenue cycle with institution…
- Alaffia Health — Agentic AI platform for health plan claims operations that pairs…
- AlethianAI — AI native multi agent healthcare platform that automates clinical…
- Almanac Health — Research validated clinical AI platform whose Almanac Copilot acts…
Alternatives to OpenEvidence
The closest documented capability profiles to OpenEvidence among healthcare agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Heidi5.0 / 14A lighter documented profile than OpenEvidence
- Adonis5.0 / 14Fuller documented coverage on Workflow Orchestration
- Basys.ai6.0 / 14Fuller documented coverage on Integrations & Tool Calling and Human Oversight & Guardrails
- Fathom6.0 / 14Adds documented Testing, Debugging & Optimization
- Freed5.0 / 14Adds documented Memory & State Persistence
- Glass Health6.0 / 14Adds documented APIs, SDKs & MCP Extensibility
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded