OpenEvidence
- Company typePrivate
- Founded2022
- HeadquartersCambridge, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What OpenEvidence does
OpenEvidence is a Miami-based medical AI company founded in 2022 by Daniel Nadler and Zachary Ziegler that builds an evidence-based clinical decision support search engine for verified U.S. healthcare professionals. The platform uses a retrieval-augmented generation architecture trained on peer-reviewed medical literature rather than the open internet, with answers grounded in citable sources and licensed content from the New England Journal of Medicine, JAMA Network, NCCN, Wiley (including the Cochrane Database), and more than 30 medical specialty societies. The core product has expanded into a multi-module workflow suite that includes Visits for ambient clinical documentation, the AI-Integrated Doctor Dialer for HIPAA-secure telehealth, Coding Intelligence for automated CPT/ICD-10/E/M suggestions, Voice Mode for hands-free speech interaction, and Dotflows for clinician-customized prompts, with prescription generation and prior authorization added through a Tandem partnership. The platform is free for verified U.S. clinicians (NPI-credentialed) and processes over one million clinical questions per day across more than 10,000 hospitals and medical centers, with enterprise deployments at Mount Sinai, Cedars-Sinai, and Sutter Health integrated directly into Epic EHR workflows.
Revenue is generated primarily through pharmaceutical and medical device advertising on the platform, supplemented by an emerging enterprise licensing motion at health systems; the company surpassed $100 million in annualized revenue in under a year. OpenEvidence has raised approximately $700 million across multiple rounds, most recently a $250 million Series D in January 2026 at a $12 billion valuation led by Thrive Capital and DST Global, with a syndicate including Google Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Nvidia, and Mayo Clinic. The company operates with fewer than 100 employees, withdrew from EU and UK markets in April 2026 citing EU AI Act uncertainty, and is HIPAA-compliant and SOC 2 Type II certified.
OpenEvidence firmographics
Firmographics- Name
- OpenEvidence
- Legal name
- OpenEvidence Inc.
- Website
- https://openevidence.com
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Ownership category
- akta.pro rank
OpenEvidence industry classification
Industry- Product category
- Clinical Decision Support Software
- NAICS
- Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Health Services (8000)
- akta.pro primary industry
- Care Navigation, Referral & Digital Front Door Platforms (HLALABAH)
- akta.pro secondary industry
- Virtual Visit & Video Conferencing APIs/SDKs (HIPAA-compliant) (HLALAKAA)
Keywords
Where OpenEvidence is headquartered
LocationHeadquarters
- HQ city
- Cambridge
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
OpenEvidence business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Pharmaceutical and Medical Device Advertising: Revenue derived from pharmaceutical and medical device advertisements displayed on the platform. The platform is free for healthcare professionals, with advertisers able to target based on physician specialty and browsing behavior. OpenEvidence maintains strict separation between advertising and clinical content.
- Enterprise Platform Licenses: Enterprise deployments at health systems including Cedars-Sinai, Mount Sinai, and Sutter Health integrated directly into Epic EHR workflows. Revenue from enterprise agreements with health systems for widespread clinical adoption.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free for verified healthcare professionals |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels6 records
OpenEvidence product offering
Product offeringCore offering
OpenEvidence operates a medical AI search engine that lets verified U.S. healthcare professionals ask natural-language clinical questions and receive sourced, evidence-weighted answers grounded in peer-reviewed medical literature, clinical guidelines, and society content. The platform is integrated into Epic EHR workflows at major U.S. health systems and is augmented by modules for ambient clinical documentation (Visits), HIPAA-secure communications (Doctor Dialer), automated medical coding (Coding Intelligence), voice interaction (Voice Mode), and customizable prompts (Dotflows).
Product overview
OpenEvidence is a Miami-based medical AI platform that functions as a clinical decision support system for verified U.S. healthcare professionals. The core product is the OpenEvidence medical search engine, an evidence-based AI copilot that retrieves and synthesizes answers from peer-reviewed literature and clinical guidelines. The platform operates as a unified system with several integrated modules: the core search engine, Visits (ambient clinical documentation and note generation), the AI-Integrated Doctor Dialer (HIPAA-secure calling, messaging, faxing, and voicemail), Coding Intelligence (automated medical coding suggestions), Voice Mode (hands-free speech interaction), and Dotflows (customizable prompts). Additional capabilities include patient handout generation, visit scheduling, and prescription/prior authorization automation via a Tandem partnership. The platform is free for verified U.S. healthcare professionals and generates revenue through pharmaceutical and medical device advertising. It integrates content from NEJM, JAMA, NCCN, Wiley, Cochrane, and 30+ medical societies, and is deployed enterprise-wide at major health systems including Mount Sinai, Cedars-Sinai, and Sutter Health via Epic EHR integration.
Differentiator
Problem solved
Functional benefit
Brands
- Coding Intelligence: AI-powered medical coding feature providing automatic CPT code suggestions, E/M level recommendations, and ICD-10 diagnoses during doctor-patient visits.
- Doctor Dialer
- Visits
Products and services
- OpenEvidence Core Platform The flagship medical AI search engine that allows verified U.S. physicians and healthcare professionals to ask natural-language clinical questions and receive sourced, cited answers grounded in peer-reviewed medical literature and clinical guidelines. Integrated into Epic EHR workflows at major health systems (Cedars-Sinai, Mount Sinai, Sutter Health) and free for verified U.S. clinicians.
- Visits Ambient clinical documentation feature that transcribes doctor-patient encounters in real time, automatically generates structured clinical notes enriched with evidence-backed citations, and allows clinicians to query patient documentation via a built-in AI assistant. Used by verified U.S. healthcare professionals at the point of care.
- AI-Integrated Doctor Dialer HIPAA-secure telemedicine communications suite integrated within the OpenEvidence platform, offering customizable caller ID voice calls, secure text messaging, in-app faxing, and straight-to-voicemail outreach between clinicians and patients. Powers approximately 37 million minutes of doctor-patient care communications and includes automatic clinical note creation when combined with Visits.
- Coding Intelligence AI-powered medical coding module that automatically suggests ICD-10 diagnosis codes, E/M level recommendations, and CPT procedure codes with clinical rationale and expected RVU values during patient encounters. Supports revenue cycle management by surfacing uncommon procedure codes for complex cases prior to claims submission; free for verified U.S. healthcare professionals.
- Voice Mode Hands-free speech-to-speech AI feature allowing clinicians to receive spoken, evidence-based answers while moving between patient rooms without touching a screen. Sources include NEJM, JAMA, and NCCN guidelines, integrated directly into Epic EHR workflows.
- Dotflows Customization feature that allows verified clinicians to create reusable natural-language prompts shaping how the OpenEvidence platform responds to queries, with a community library for browsing, cloning, and sharing custom Dotflows among verified users.
Quantifiable outcome
- 65% of U.S. physicians now use OpenEvidence regularly, up from 50% seven months prior
- +3 more outcomes
Companies that use OpenEvidence
Customer profileNamed customers3 records
Segments3 records
Ideal customer profiles2 records
OpenEvidence technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability7 records
Feature6 records
OpenEvidence partnerships and signals
Strategic signalPartnerships
15 partnerships are on record, tiered core and minor.
- Society for Neuro-Oncology (SNO)coreLandmark partnership designating OpenEvidence as SNO's official generative AI partner, with OpenEvidence's AI-powered clinical decision support platform embedded across SNO's member-facing digital properties. Aims to help clinicians access evidence-based clinical information more quickly amid rapidly evolving medical literature in neuro-oncology.
- Pathway LabsminorPartnership to make EchoNext (FDA-approved AI tool that reads ECGs to detect six types of structural heart disease) available to over 500,000 physicians on OpenEvidence's clinical decision platform.
- American Academy of Ophthalmology (AAO)coreStrategic partnership to integrate AAO clinical guidelines, including Preferred Practice Pattern Guidelines and Ophthalmic Technology Assessments, into the OpenEvidence platform. Guidelines made freely accessible to ophthalmologists alongside OpenEvidence's existing peer-reviewed medical literature.
- Cedars-SinaicoreDeployed OpenEvidence enterprise platform systemwide, integrating AI-powered clinical decision support directly into its EHR system to provide real-time, patient-specific medical insights at the point of care. Plans to further customize with institutional care pathways and safety protocols.
- Society of Surgical OncologyminorPartnership established as part of OpenEvidence's strategy to build new partnerships and expand its market reach beyond core clinical search.
- American College of Obstetricians and Gynecologists (ACOG)corePartnership to integrate ACOG's evidence-based clinical guidance into the AI platform, giving clinicians across specialties access to ob-gyn guidance at the point of care. Collaboration also analyzes clinician search patterns to identify evidence gaps in women's health.
- American Urological Association (AUA)coreMulti-year collaboration to embed AUA Clinical Practice Guidelines and Clinical Consensus Statements into OpenEvidence's AI-driven clinical decision support platform. Deepens penetration among urologists and supports cross-specialty adoption.
- TandemcoreStrategic partnership to add prescription generation and prior authorization submission capabilities to OpenEvidence's clinical decision support platform. The integration embeds prescription automation directly into EHR workflows to reduce administrative burdens on clinicians, accelerate treatment, and improve patient access to medications.
- Mount Sinai Health SystemcoreEnterprise-wide deployment of OpenEvidence integrated directly into Epic EHR system. First large-scale rollout extending access to the entire clinical workforce including physicians, nurses, and pharmacists.
- American College of Cardiology (ACC)coreCollaboration to integrate ACC clinical guidance into the OpenEvidence platform, showcased at ACC conference. Includes use cases like SGLT2 inhibitor timing and DAPT duration, supported by ACC/AHA citations.
- National Organization for Rare Disorders (NORD)corePartnership to expand access to trusted, expert-reviewed rare disease information for clinicians, patients, and families worldwide. Will combine AI-powered synthesis of biomedical literature with expert review to build a library of more than 3,000 rare disease summaries.
- WileycoreStrategic partnership to bring Wiley's trusted scientific and medical content into OpenEvidence, including the Cochrane Database of Systematic Reviews, over 400 Wiley journals and books, and major medical references spanning cardiology, oncology, neurology, and other specialties.
- Sutter HealthcorePartnership to integrate AI-powered clinical decision support within Epic EHR workflows, enabling physicians to quickly access relevant guidelines and studies through natural language searches.
- National Comprehensive Cancer Network (NCCN)coreLicensing agreement to make NCCN's trusted, evidence-based oncology guidelines (NCCN Guidelines and JNCCN) accessible through OpenEvidence's medical AI technology. Enables healthcare professionals to access NCCN recommendations via natural-language search.
- NEJM GroupcoreMulti-year content agreement to provide OpenEvidence with all published content and multimedia from NEJM, NEJM Evidence, NEJM AI, NEJM Catalyst, and NEJM Journal Watch from 1990 forward. OpenEvidence designated as Official AI Partner of The New England Journal of Medicine.
Scale indicators8 records
Recent moves8 records
Expansion highlights7 records
OpenEvidence competitors and assessment
Company assessmentDirect peers
- UpToDate (Wolters Kluwer): The incumbent evidence-based clinical decision support resource used by most U.S. physicians. Directly comparable to OpenEvidence as a peer-reviewed reference tool at the point of care, though it relies on human-authored topic reviews rather than generative AI.
- DynaMed (EBSCO): Another leading evidence-based clinical decision support platform sold to hospitals and physicians. Comparable in workflow (point-of-care evidence lookup) and buyer (health systems and individual clinicians) but predates the LLM era.
- Abridge: AI company focused on ambient clinical documentation and conversation-to-note generation for clinicians, integrated with Epic. Closest direct competitor in the AI clinical workflow category that OpenEvidence is expanding into with its Visits module.
- Suki AI: AI voice assistant for clinicians that automates documentation, coding and other administrative tasks. Overlaps with OpenEvidence's Visits, Voice Mode, and Coding Intelligence modules in selling ambient AI to health systems.
Broad incumbents
- Doximity: Largest U.S. physician network with workflow tools, telehealth (Dialer), and pharma marketing monetization. Comparable target audience (verified U.S. physicians) and a parallel pharma-advertising revenue model, but broader in scope than clinical evidence.
- Epocrates (athenahealth): Long-standing point-of-care drug and clinical reference app widely used by U.S. physicians. Comparable as a physician-facing clinical reference, with pharma-sponsored content monetization akin to OpenEvidence's model.
- Wolters Kluwer Clinical Effectiveness: Parent group behind UpToDate and other evidence-based clinical tools. A large, established competitor with the content depth, hospital relationships, and capital to challenge AI-native entrants in clinical decision support.
Emerging players
- Hippocratic AI: Healthcare-focused LLM company building safety-tuned foundation models for clinical use cases. A potential complement/competitor to OpenEvidence's RAG approach if its models become embedded in clinical workflows directly.
- Glass Health: AI clinical decision support platform aimed at clinicians for differential diagnosis and treatment planning. Overlaps with OpenEvidence's evidence-search and clinical decision support functionality for individual practitioners.
Others
- Figure 1 (Health Tech): Medical knowledge-sharing platform for healthcare professionals. Adjacent in serving as a physician-facing clinical knowledge community, though narrower in scope than OpenEvidence's evidence-based search engine.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat6 records
Key risks6 records
Key highlights6 records
Customer concentration
OpenEvidence social profiles
Digital presenceOpenEvidence compliance and trust
Trust signalCompliance3 records
OpenEvidence financial estimates
Financial estimateRevenue estimate
Valuation estimate
OpenEvidence leadership team
Management profileNumber of profiles
Profiles3 records
OpenEvidence funding detail
Funding detailFunding overview
Funding rounds9 records
Investors27 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
OpenEvidence M&A and investment
M&A and investmentM&A2 records
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about OpenEvidence
What does OpenEvidence do?
OpenEvidence operates a medical AI search engine that lets verified U.S. healthcare professionals ask natural-language clinical questions and receive sourced, evidence-weighted answers grounded in peer-reviewed medical literature, clinical guidelines, and society content. The platform is integrated into Epic EHR workflows at major U.S. health systems and is augmented by modules for ambient clinical documentation (Visits), HIPAA-secure communications (Doctor Dialer), automated medical coding (Coding Intelligence), voice interaction (Voice Mode), and customizable prompts (Dotflows).
Is OpenEvidence a public or private company?
OpenEvidence is a private company. It is classified as venture growth investor backed and is currently operating.
When was OpenEvidence founded?
OpenEvidence was founded in 2022. It employs 101 to 250 people.
Where is OpenEvidence based?
OpenEvidence is headquartered in Cambridge, United States, in the North America region.
How does OpenEvidence make money?
Two revenue lines are on record. Pharmaceutical and Medical Device Advertising is the primary driver. The others are enterprise Platform Licenses.
Who are OpenEvidence's main competitors?
Direct peers on record are UpToDate (Wolters Kluwer), DynaMed (EBSCO), Abridge and Suki AI. Broad incumbents are Doximity, Epocrates (athenahealth) and Wolters Kluwer Clinical Effectiveness. Emerging players are Hippocratic AI and Glass Health. Figure 1 (Health Tech) is listed as an others.
Does OpenEvidence have an API?
No public API is recorded for OpenEvidence.
What industry is OpenEvidence in?
OpenEvidence's product category is Clinical Decision Support Software. Its primary akta.pro industry code is HLALABAH, Care Navigation, Referral & Digital Front Door Platforms, with a secondary code of HLALAKAA, Virtual Visit & Video Conferencing APIs/SDKs (HIPAA-compliant). Its NAICS code is 54151 and its SIC code is 7372.