Startup Diligence
Diligence report Health Technology / healthcare AI clinical decision support Private unicorn / growth-stage healthcare AI company

OpenEvidence

OpenEvidence Startup Diligence Report

Proceed to confirmatory diligence only if the company can substantiate $100M+ revenue quality, durable HCP engagement, compliant ad monetization, defensible content/model advantages, adequate security/regulatory controls and manageable litigation/IP exposure. Public evidence is promising but insufficient for valuation reliance.

Company profile

OpenEvidence Startup Diligence Report

OpenEvidence is strongly supported as an active, highly valued healthcare AI unicorn with public evidence of major financing rounds, medical-content partnerships and large clinician-usage claims. The investment case remains highly dependent on private verification of revenue quality, ad-supported monetization, clinical AI safety, privacy/security posture, content-license economics, cap table and litigation exposure.

Website
www.openevidence.com
Sector
Health Technology / healthcare AI clinical decision support
Geography
United States
Stage
Private unicorn / growth-stage healthcare AI company
Known aliases
OpenEvidence, OpenEvidence Inc.
Report version
1.0
Timezone
UTC

Executive summary

Strengths

  • Multiple public sources support a $12B January 2026 valuation and recent Series D financing.
  • Homepage and terms verify a public clinical decision-support / medical knowledge platform positioning.
  • NEJM and NCCN relationships have stronger public corroboration; other homepage partner claims require contract follow-up.

Risks

  • Financial quality and valuation support are private despite headline $12B valuation and $100M+ reported revenue.
  • Ad-supported revenue concentration, advertiser contracts and sales productivity are not public.
  • Healthcare AI clinical reliance creates product-liability and regulatory exposure despite disclaimers.
  • Publicized Doximity/Pathway disputes create legal, IP and reputational risk.
  • Advertising in clinical workflows may threaten physician trust or invite scrutiny.

Gaps

  • Audited financials, revenue bridge, cash runway, debt, gross margin, CAC/payback, churn/NRR and forecast model.
  • Cap table, preferences, option pool, debt/notes and financing documents for Series A-D.
  • Top customers/advertisers, contract terms, revenue concentration, renewals and reference calls.
  • Content-license agreements, advertiser contracts, cloud/model vendor contracts and BAAs/DPAs.
  • Model-evaluation package, clinical safety governance, privacy/security audits, regulatory memos and litigation dockets.

Recommended next steps

  • Run finance and quality-of-revenue diligence before underwriting the $12B valuation.
  • Have healthcare regulatory, privacy/security and IP/litigation counsel review all material legal artifacts.
  • Validate clinician usage and revenue through product analytics, NPI verification logs, advertiser/customer references and contract review.
  • Benchmark competition with win/loss, retention and pricing data versus Doximity, general AI models and traditional medical-information products.

Risk register

high medium likelihood

R-001: Headline valuation outpaces public financial disclosure

The $12B valuation and reported revenue are public, but audited financials, ARR bridge, cash burn, gross margin and forecast quality are private.

Diligence request: Run quality-of-revenue diligence, reconcile reported revenue to GAAP/management accounts and benchmark valuation to retention, margins and growth.

high medium likelihood

R-003: Revenue concentration and ad-supported economics are opaque

Free clinician access and advertising infrastructure imply advertisers/sponsors may be the paying customers, but concentration, renewals and compliance economics are not public.

Diligence request: Request advertiser/customer list, revenue by customer, insertion orders/MSAs, renewal pipeline, AR aging and ad-compliance review process.

high medium likelihood

R-004: Clinical-decision reliance creates product and regulatory exposure

Terms disclaim diagnostic use, but clinicians use the product for high-stakes clinical decisions; product errors or changing AI/CDS rules could be material.

Diligence request: Obtain FDA/state regulatory analyses, clinical safety cases, model-evaluation files, incident logs and professional-liability insurance.

high medium likelihood

R-005: Privacy, advertising and HCP-identification data sensitivity

Privacy policy discloses NPI/license data and third-party advertising partner activity; ad targeting in healthcare can create compliance and reputational risk.

Diligence request: Review data maps, consent flows, BAA posture, third-party pixels, retention, opt-out, MLR governance, SOC 2/HITRUST and HIPAA counsel memos.

high medium likelihood

R-007: Competitive litigation and trade-secret disputes

OpenEvidence and Doximity are reportedly suing each other, and a prior Pathway lawsuit was dismissed; litigation may distract management or affect IP narratives.

Diligence request: Obtain pleadings, motions, dismissal orders, counsel assessments, insurance coverage and settlement exposure analysis.

high medium likelihood

R-008: Model quality, hallucination and cost-to-serve not independently verified

DeepConsult is described as >100x compute/cost versus standard search and clinical outputs are high stakes; no public model cards or red-team reports were found.

Diligence request: Run technical diligence on eval harnesses, ground-truth sets, source citation fidelity, cost curves, uptime, incident response and human factors.

high medium likelihood

R-012: Advertising in clinical workflows may create trust and reputational risk

OpenEvidence markets evidence-based clinical answers while monetizing through advertising; perceived conflicts could affect physician trust, partner relations or regulatory scrutiny.

Diligence request: Review ad labeling, targeting restrictions, firewall between content and ads, advertiser categories, medical-review workflows and user-trust research.

high unknown likelihood

R-002: Cap-table, preferences and financing terms are not public

Multiple priced rounds are public, but share counts, preferences, debt, warrants, option pool and secondary components are not.

Diligence request: Request full cap table, charter, investor rights, SAFEs/notes/debt and round model.

Chapter 01

01Financial Information

OpenEvidence has strong public financing headlines, including a $12B January 2026 valuation and prior $1B/$3.5B/$6B valuation anchors, plus reported $100M+ revenue. Public evidence does not disclose audited financials, forecast quality, cash, debt, cap table, revenue concentration or unit economics.

I.A Annual and quarterly financial information for the past three years

not publicly verifiable confidence: high

No audited income statements, balance sheets, cash flows, backlog, AR aging or product/geography gross profit schedules were public; only company-reported revenue/adoption headlines were found.

Evidence gaps

  • Audited/management financial statements, revenue by product/customer/channel/geography, AR aging, backlog and cash/debt schedules.

Hidden risks

  • Revenue recognition, ad receivables, deferred revenue, gross margin and AR aging could materially diverge from headline revenue.

Follow-up questions

  • Provide monthly financials for FY2023-FY2026 YTD, KPI pack, revenue-recognition policy and AR/deferred-revenue detail.
Public revenue, adoption and unit-economic signals
metricvaluesource contextverification statusdiligence request
RevenueSurpassed $100MTechCrunch says company reported thispartially_verifiedAudited revenue, ARR/booking bridge and revenue-recognition policy.
Clinical consultations18M in December 2025; 1M in one day on March 10, 2026TechCrunch and company PRpartially_verifiedDefinition of consultation, active-user cohorts, bot/fraud controls.
Gross margin / CAC / payback / NRR / churnNot publicNo public data roomnot_publicly_verifiableKPI pack by cohort and channel.

I.B Financial Projections

partially verified confidence: medium

Public evidence supports growth drivers such as clinician adoption and content partnerships, but the three-year model, pricing assumptions, compute costs and external financing assumptions are private.

Evidence gaps

  • Three-year financial model, scenario sensitivities, GPU/cloud forecast, publisher-license fees, sales capacity and pricing assumptions.

Hidden risks

  • Compute, licensing and ad-sales assumptions may compress margins even with rapid usage growth.

Follow-up questions

  • Provide board-approved plan with monthly forecast, sensitivity cases and bridge from usage to revenue and cash burn.
Public funding-round history
dateroundamountpost money or valuationlead or participantsverification statusdiligence caveat
2025-02-19Series ANot stated in PR; Wikipedia page reported $75M$1BSequoia Capitalpartially_verifiedConfirm amount, security type, preferences and cap table.
2025-07-15Series B$210M$3.5BGoogle Ventures and Kleiner Perkins; Sequoia, Coatue, Conviction, Thrive also namedverifiedConfirm primary/secondary split and investor rights.
2025-10Series C$200M$6BGV reported by TechCrunchpartially_verifiedObtain round documents; only TechCrunch summary was reviewed.
2026-01-21Series D$250M$12BThrive Capital and DST co-led per TechCrunch/CNBCverifiedValidate valuation, preferences, option pool and any debt.

Financing history is public at headline level only.

Implied public valuation trajectory Line chart of publicly reported valuation anchors.

I.C Capital Structure

not publicly verifiable confidence: high

Public sources name major investors and founders but do not disclose shares, preferences, warrants, notes, debt or option pool.

Evidence gaps

  • Current cap table, pro-forma round model, option/warrant schedule, debt/credit lines and investor-rights agreements.

Hidden risks

  • Investor preferences, option pool top-ups or secondary sales could materially affect common equity value.

Follow-up questions

  • Provide fully diluted cap table and financing documents for each equity/debt round.
Capital structure and ownership snapshot
stakeholderpublic positionverification statusdiligence caveat
Daniel NadlerFounder / CEO; prior Kensho founderpartially_verifiedOwnership, employment agreement and vesting not public.
Zack ZieglerCo-founder named in public background sourcepartially_verifiedOwnership, role and vesting not public.
Sequoia, GV, Kleiner Perkins, Thrive, DST and other investorsNamed financing participants across Series A-DverifiedShare classes, preferences and investor rights not public.
Debt, warrants, options, employee grantsNot publicly disclosednot_publicly_verifiableRequest full capitalization and debt schedule.

I.D Other financial information

partially verified confidence: medium

Public financing history is relatively robust, but taxes, accounting policies, revenue-recognition judgments and financing instrument details are private.

Evidence gaps

  • Tax positions, revenue-recognition memo, debt instruments, license minimums and off-balance-sheet commitments.

Hidden risks

  • Tax exposure, off-balance-sheet liabilities and license commitments may be hidden from public sources.

Follow-up questions

  • Provide tax returns, accounting policies, debt/lease/license commitments and round-by-round investment basis.
Funding and strategic-event timeline Chronological view of financing, acquisition and usage milestones.
Chapter 02

02Products

OpenEvidence publicly offers a free AI medical knowledge and clinical decision-support platform for verified U.S. HCPs, with licensed medical-content integrations and advanced DeepConsult functionality. Core product quality, pricing economics, roadmap and regulated-use boundaries require private diligence.

II.A Description of each product

partially verified confidence: medium

The public product set centers on AI-powered medical search/clinical decision support, licensed evidence content, mobile app access and DeepConsult. Pricing is visibly free for verified U.S. HCPs; paid packaging and cost structure are not public.

Evidence gaps

  • Product analytics, roadmap, release history, model evals, incident reports, support tickets, cost by SKU and gross margin by workflow.

Hidden risks

  • Clinician reliance, hallucination risk, content-license continuity and compute cost could affect product-market fit and liability.

Follow-up questions

  • Provide product roadmap, model cards, evals, safety cases, pricing experiments and support/incident history.
Product and SKU matrix
product or featureaudiencepublic evidenceverification statusgap
OpenEvidence core medical search / clinical decision supportVerified U.S. healthcare professionalsHomepage positioning and terms define clinical decision support tools.verifiedNeed workflow demos, usage cohorts and safety/eval files.
Licensed evidence content from NEJM, JAMA/JAMA Network, NCCN, Cochrane and societiesClinicians seeking cited evidenceHomepage plus NEJM/NCCN announcements.partially_verifiedNeed full licenses and partner confirmations for all claimed partners.
DeepConsultPhysicians needing deeper research synthesisSeries B release describes PhD-level report and >100x compute/cost.verifiedNeed performance, cost and adoption data.
Mobile appsVerified U.S. HCPsHomepage says get OpenEvidence on iOS and Android.verifiedNeed app analytics, support quality and platform dependency.
Pricing and packaging signals
offeringpublic price or modelevidenceverification statusdiligence request
Verified U.S. HCP accessFreeHomepage says OpenEvidence is free for verified U.S. HCPs.verifiedConfirm eligibility, verification cost and international policy.
Advertising-supported monetizationAd-supported; revenue reportedly >$100MTechCrunch and Amaro release.partially_verifiedAdvertiser contracts, ad rates, compliance review, gross margin.
Enterprise/provider/pharma paid tiersNot disclosedNo public pricing page found; customer revenue schedule absent.not_publicly_verifiablePricing, packaging, ACV and discount policies.
Public product and content-dependency architecture Architecture diagram of public product claims and dependency boundaries.
Chapter 03

03Customer Information

Public materials demonstrate extensive clinician-user and content-partner claims, but do not disclose paying-customer lists, advertiser concentration, contract economics, churn or supplier spend.

III.A Top customers by application

partially verified confidence: medium

Public evidence identifies user groups and usage scale rather than named top-paying customers; verified HCPs and care centers are adoption anchors.

Evidence gaps

  • Top-15 customer/advertiser schedule, contract value, specialty/application mix, renewal status and reference contacts.

Hidden risks

  • High usage may not equal durable paying demand if advertisers or partners drive revenue.

Follow-up questions

  • Provide top customers/advertisers by ARR/revenue, use case and contract status for the last two fiscal years and YTD.
Public users, customers and usage anchors
public groupreported scaleuse caseverification statusgap
Verified physicians / HCPsHundreds of thousands; >40% of U.S. physicians/clinicians cited in public sourcesClinical questions and decision supportpartially_verifiedActive-user, retention and NPI verification logs.
Hospitals and medical centersMore than 10,000 care centers nationwideClinician access across care settingspartially_verifiedWhether institutions are customers, users or merely workplaces.
Advertisers / sponsors / paying customersNot named publiclyLikely monetization counterparties in ad-supported modelnot_publicly_verifiableRevenue by customer and contract terms.
Public adoption anchors Bar chart of public usage/adoption anchors using mixed reported units in labels.

III.B Strategic relationships

verified confidence: medium

Strategic relationships are one of the strongest public evidence areas, led by NEJM, NCCN and homepage-listed journal/society partners.

Evidence gaps

  • Partner contracts, revenue/cost contribution, exclusivity, termination rights and service-level obligations.

Hidden risks

  • License concentration and renewal/termination economics could threaten the evidence moat.

Follow-up questions

  • Provide all material content and society partner agreements with economics and renewal calendar.
Strategic relationships and partnerships
partnernaturepublic evidenceverification statusdiligence gap
NEJM Group / New England Journal of MedicineMulti-year content agreement; homepage official AI partner claimSeries A release and homepage.verifiedContract economics, term and exclusivity.
JAMA / JAMA NetworkHomepage official AI partner claimHomepage states content includes JAMA/JAMA Network materials.partially_verifiedPartner-side confirmation and contract.
NCCNLicensing agreement for NCCN Guidelines Treatment AlgorithmsNCCN partner announcement and homepage.verifiedLicense economics and QA obligations.
Cochrane and society partners (ACC, ADA, AAFP, NORD, ACOG, AUA, AAO, ACEP and more)Homepage-listed content/society partnersHomepage partner list.partially_verifiedIndependent confirmation and individual contracts.

III.C Revenue by customer

not publicly verifiable confidence: high

Revenue by customer or advertiser is not publicly verifiable; public monetization evidence points to ad support and reported $100M+ revenue.

Evidence gaps

  • Revenue by customer/advertiser, bookings, churn, NRR, AR aging and contract duration.

Hidden risks

  • A small set of advertisers, pharma sponsors or content/commercial partners could account for a material share of revenue.

Follow-up questions

  • Provide revenue-concentration schedule and renewal health for all customers above 5% of revenue.

III.D Significant relationships severed within the last two years

not publicly verifiable confidence: low

No severed customer, partner or supplier relationships were publicly verified; litigation with competitors may involve ecosystem conflicts but is not a severed-customer disclosure.

Evidence gaps

  • Partner churn log, lost customers, terminated supplier agreements and renewal pipeline.

Hidden risks

  • Unannounced partner non-renewals or advertiser churn could be hidden.

Follow-up questions

  • List all material customer, advertiser, publisher, society and supplier relationships severed or non-renewed in the last two years.

III.E Top suppliers

partially verified confidence: medium

Public sources reveal content licensors, advertising technology from Amaro and likely HCP verification/data dependencies; cloud/model suppliers and spend concentration are not public.

Evidence gaps

  • Supplier spend, cloud/model contracts, content licenses, app-store terms, NPI verification vendors and subprocessors.

Hidden risks

  • Compute, model-provider or content-license concentration could create gross-margin and availability risk.

Follow-up questions

  • Provide top suppliers for FY2024-FY2026 YTD with spend, contract terms and termination rights.
Top supplier and dependency snapshot
dependencyrolepublic evidenceverification statusrisk
Medical-content licensorsEvidence corpus and partner credibilityNEJM/NCCN/homepage partners.verifiedLicense renewal and cost.
Advertising technology / AmaroAd-supported monetization infrastructureAmaro acquisition release.verifiedAd compliance and integration.
Cloud/model/compute providersLLM inference, DeepConsult and storageNot publicly identified; DeepConsult compute intensity disclosed.not_publicly_verifiableCost, security and availability concentration.
NPI/license verification and HCP dataAccess control and ad personalizationPrivacy policy references NPI/license collection.verifiedPrivacy and verification accuracy.
Chapter 04

04Competition

OpenEvidence competes in a fast-moving healthcare AI and clinical-decision-support market against Doximity/Pathway, general AI model makers, traditional medical-information products and consumer medical information patterns. Public evidence supports differentiation through content partnerships and free clinician access but not win rates or durable market share.

IV.A Competitive landscape by market segment

partially verified confidence: medium

The strongest public differentiators are evidence-content partnerships, clinician-only positioning and free HCP access; the main risks are incumbent distribution, model-maker encroachment, litigation and advertising trust.

Evidence gaps

  • Win/loss reports, competitive pricing, retention versus competitors, buyer surveys, market share, and litigation counsel updates.

Hidden risks

  • Free/ad-supported competition could pressure revenue quality and clinical trust; litigation may expose trade-secret or conduct risk.

Follow-up questions

  • Provide competitive benchmark, top displacement wins/losses and Doximity/Pathway litigation analysis.
Competitor comparison matrix
competitorsegmentproduct overlappublic evidenceopenevidence differentiatorr
Doximity GPTClinician network and healthcare-specific AIAnswers medical questions for cliniciansHealthExec describes Doximity GPT and similar OpenEvidence offering.Content-partner claims and free HCP medical-search focus.
Pathway MedicalMedical AI / clinical knowledgeCompetitor named in prompt-injection lawsuit articleHealthExec reports OpenEvidence sued Pathway and Doximity later acquired it.Scale and content-partner positioning.
General AI model makersFoundation models and general assistantsPotential health-information productsTechCrunch notes encroachment from model makers.Clinical domain focus, HCP verification and licensed sources.
Traditional medical-information products / WebMD-like reference toolsMedical knowledge and decision supportMedical information search/referenceTechCrunch compares OpenEvidence to WebMD for a prior internet generation but doctor-focused.AI, citation and clinician workflow.
Basis-of-competition scoring
axisopenevidence positioncompetitive pressureevidencediligence need
Evidence/content credibilityStrong public partner claimsHigh for incumbent medical content vendorsNEJM/NCCN/homepage partnerships.Contract terms and user trust research.
Distribution/adoptionLarge company-reported HCP adoptionHigh from Doximity and model makersUsage and Doximity GPT sources.Cohort retention and win/loss.
PriceFree for verified U.S. HCPsCould pressure paid CDS tools; depends on ad revenueHomepage and TechCrunch ad-supported model.Ad economics, willingness to pay and margin.
Legal/IP posturePublicly involved in disputesLitigation can distract and expose claimsHealthExec litigation article.Primary docket and counsel review.
Healthcare AI medical-knowledge market map Qualitative market map of specificity versus distribution.
Chapter 05

05Marketing, Sales, and Distribution

Public go-to-market is product-led/free clinician access reinforced by publisher/society partnerships, high-profile press, mobile apps and advertising monetization. Sales productivity, advertiser pipeline, quotas and budget adequacy are not public.

V.A Strategy and implementation

partially verified confidence: medium

The public strategy combines free verified-HCP access, content partnerships, PR, mobile app availability and ad-supported monetization enhanced by Amaro.

Evidence gaps

  • GTM budget, channel attribution, sales pipeline, ad policy, MLR review, enterprise/channel partnerships and international plans.

Hidden risks

  • Ad targeting in clinical workflows could impair trust or trigger compliance scrutiny.

Follow-up questions

  • Provide GTM plan, advertiser pipeline, channel attribution and marketing-compliance SOPs.
Distribution channels and GTM motions
channelpublic signalroleverification statusgap
Product-led free HCP accessFree for verified U.S. HCPs; >40% usage via word of mouth in job postingUser acquisition and habit formationpartially_verifiedAcquisition funnel and retention.
Medical-content and society partnershipsNEJM/JAMA/NCCN/Cochrane and society partnersTrust, distribution and evidence moatpartially_verifiedContract economics and partner co-marketing.
Press/investor credibilityCNBC, TechCrunch, PRNewswire and Disruptor 50 profileBrand, recruiting and investor visibilityverifiedLead attribution and conversion.
Advertising sales / Amaro infrastructureAmaro acquisition and ad-supported modelMonetization channelpartially_verifiedAdvertiser pipeline and medical-ad governance.
Public marketing and PR signal summary
signalsourcemessageverification statusrisk note
Homepage brand claimOpenEvidence homepageAmerica's Official Medical Knowledge PlatformverifiedSubstantiation and partner permission should be reviewed.
Investor/financing PRPRNewswire/CNBC/TechCrunchFast growth, large rounds, unicorn valuationverifiedPromotional claims require financial verification.
Partner credibilityNCCN and NEJM-related releasesEvidence-based content integrationspartially_verifiedReliance on partner renewal and QA obligations.
Ad-supported medical workflowTechCrunch and Amaro releaseFree-to-HCP model monetized by advertisingpartially_verifiedPotential physician trust and ad-compliance concerns.

Rows marked verified indicate that the public statement was verified to exist, not that underlying operating metrics were independently audited.

Public GTM channel signal mix Bar chart of visible GTM signal categories.

V.B Major Customers

not publicly verifiable confidence: high

Major paying customers are not public; HCP users and care centers are adoption signals rather than revenue concentration evidence.

Evidence gaps

  • Customer contracts, advertiser pipeline, renewal logs, churn and future expansion plans.

Hidden risks

  • Advertiser concentration or partner economics may dominate revenue despite broad usage.

Follow-up questions

  • Provide major-customer status, pipeline and reference calls.

V.C Principal avenues for generating new business

partially verified confidence: medium

Principal public avenues are verified-HCP onboarding, product-led word of mouth, content/society partners, mobile apps, PR and advertising demand generation.

Evidence gaps

  • Acquisition funnel metrics, CAC, channel mix, sales pipeline, app-store analytics and referral mechanics.

Hidden risks

  • International distribution, enterprise/provider sales and pharma-ad demand are not transparent.

Follow-up questions

  • Provide channel-level CAC/payback and HCP verification funnel metrics.

V.D Sales force productivity model

not publicly verifiable confidence: high

No quota, sales-cycle, rep productivity or sales-compensation data was public; ad-supported monetization makes productivity diligence especially important.

Evidence gaps

  • Sales headcount, quota, pipeline conversion, average deal size, MLR cycle time, CAC and payback.

Hidden risks

  • Revenue growth could depend on non-public advertiser sales capacity or regulatory/MLR review bottlenecks.

Follow-up questions

  • Provide sales productivity model and advertiser pipeline by stage.

V.E Ability to implement marketing plan with current and projected budgets

not publicly verifiable confidence: medium

Budget adequacy is not public. Financing suggests resources exist, but burn, license fees, compute and sales/marketing spend are unknown.

Evidence gaps

  • Board-approved GTM budget, headcount plan, CAC/payback, media/ad spend and content-license budget.

Hidden risks

  • Marketing spend may be constrained by compute costs, content-license minimums or compliance review.

Follow-up questions

  • Provide marketing budget vs actuals and plan-to-attainment dashboard.
Chapter 06

06Research and Development

OpenEvidence publicly presents a science-heavy R&D organization building medical-domain LLMs, retrieval/citation experiences and DeepConsult. Technical performance, roadmap cost, incident history and IP ownership require private diligence.

VI.A Description of R&D organization

partially verified confidence: medium

Public evidence supports an engineering-heavy organization with research, applied AI, infrastructure, SRE and security roles; complete org design and budgets are private.

Evidence gaps

  • R&D budget, org chart, key-person map, hiring plan, compute budget, model-provider contracts and technical debt.

Hidden risks

  • A small team could face scaling pressure in security, reliability and model evaluation.

Follow-up questions

  • Provide R&D org chart, roadmap owners, budget and key technical dependencies.
Key R&D personnel and public role signals
person or rolepublic roleevidenceverification statusdiligence gap
Daniel NadlerFounder / CEO; prior Kensho founderPR and Wikipedia background.partially_verifiedEmployment agreement, equity, board role.
Zack ZieglerCo-founder; machine learning researcher per public backgroundWikipedia page and Amaro release quote from Zachary Ziegler as cofounder.partially_verifiedCurrent responsibilities and equity.
Research Scientist / Applied AI / Data Infrastructure / SRE / Platform Security rolesR&D and reliability rolesAshby job board.verifiedActual filled roles, attrition and reporting lines.
Medical advisory board / domain expertsAdvisory content/clinical input implied by PR quoteSeries B release references a world-class medical advisory board in investor quote.partially_verifiedNames, agreements, conflicts and compensation.
R&D portfolio architecture R&D architecture inferred from public releases and job postings.

VI.B New Product Pipeline

partially verified confidence: medium

DeepConsult and next-generation medical-domain LLMs are public pipeline signals; release dates, performance gates, cost to develop and critical technology dependencies are private.

Evidence gaps

  • Pipeline roadmap, model evals, launch gates, compute economics, safety review, IP assignments and vendor contracts.

Hidden risks

  • Compute cost, hallucination controls, source fidelity and ad infrastructure governance could delay or reshape roadmap.

Follow-up questions

  • Provide product roadmap, model/system eval results and costed launch plan for DeepConsult and other major features.
Public product and research pipeline
initiativestatusevidenceverification statusdiligence request
Next-generation medical-domain LLMsFunding use stated in Series A releaseTrain specialized LLMs and grow AI scientists.verifiedModel cards, evals, data rights and training/inference cost.
DeepConsultWide release announced July 2025Purpose-built AI agent for physicians; >100x standard search compute/cost.verifiedUsage, quality, margin and safety data.
Expanded content partnershipsOngoing funding use and homepage partner listNEJM/NCCN/homepage partners.partially_verifiedPartner roadmap and contract renewal schedule.
Advertising infrastructure integrationAmaro acquisition announcedAmaro team/product/technology to support advertising infrastructure.verifiedAd-governance roadmap and integration risks.
DeepConsult relative compute intensity Bar chart comparing standard search to DeepConsult compute/cost intensity from public claim.
Chapter 07

07Management and Personnel

Public sources identify Daniel Nadler and Zack Ziegler and show active engineering hiring, but do not disclose full management roster, board, compensation, stock plans, employee relations or turnover.

VII.A Organization Chart

partially verified confidence: medium

Only a partial public org chart can be inferred: CEO/founder, co-founder, engineering/research/security roles and investors/medical advisors. Reporting lines are not public.

Evidence gaps

  • Full org chart, board/advisor list, management reporting lines and succession plan.

Hidden risks

  • Unknown board control, leadership gaps and key-person dependency.

Follow-up questions

  • Provide current and projected org chart by function/location.
Senior management roster and governance gaps
name or grouproletenure or backgroundverification statusgap
Daniel NadlerFounder / CEOFounded OpenEvidence in 2022; prior Kensho founder per public sources.partially_verifiedEmployment terms, equity, board control, references.
Zack Ziegler / Zachary ZieglerCo-founderNamed as co-founder; quoted in Amaro release.partially_verifiedCurrent role, reporting, equity and vesting.
Board and investorsNot fully public; major investors namedSequoia, GV, KP, Thrive, DST, Nvidia and others named in financing sources.partially_verifiedBoard seats, observer rights, voting thresholds and protective provisions.
Broader C-suite / medical advisory boardNot fully public in reviewed sourcesInvestor quote references a medical advisory board.not_publicly_verifiableNames, contracts, conflicts, compensation.
Partial public organization chart Publicly inferred org chart from founder and role evidence.

VII.B Historical and projected headcount by function and location

partially verified confidence: medium

Public headcount evidence is limited to 30-person engineering-team claim and 10 engineering openings in San Francisco and Miami.

Evidence gaps

  • Historical headcount, open roles, location mix, recruiting funnel, projected headcount and attrition.

Hidden risks

  • Rapid valuation growth may require faster hiring than public team scale suggests.

Follow-up questions

  • Provide HRIS export and hiring plan by function/location.
Headcount and hiring signals
functionpublic signallocationverification statusgap
Engineering overall30-person engineering team; 10 open engineering rolesSan Francisco and Miami rolesverifiedTotal headcount, attrition, offer funnel.
Security / SRE / data infrastructureDedicated public postingsMiami and San FranciscoverifiedFilled capacity and security maturity.
Sales/marketing/legal/compliance/clinical operationsNot visible in Ashby API snapshotNot publicnot_publicly_verifiableNon-engineering org and capacity.
Public headcount and hiring anchors Bar chart of public team scale signals.

VII.C Senior management biographies

partially verified confidence: medium

Daniel Nadler's prior Kensho background is public; Zack Ziegler is identified as co-founder. Broader C-suite, board and medical advisory details were not fully public in reviewed sources.

Evidence gaps

  • Management biographies, employment agreements, board minutes, advisor agreements and reference checks.

Hidden risks

  • Management depth and role tenure could be materially under-verified.

Follow-up questions

  • Provide biographies and employment terms for senior management, board and advisors.

VII.D Compensation arrangements

not publicly verifiable confidence: high

No key employment agreements, benefits plans, executive compensation, bonus or sales-compensation terms were public.

Evidence gaps

  • Executive employment agreements, benefits plan documents, severance, bonus and sales-compensation plans.

Hidden risks

  • Retention or change-in-control obligations could affect transaction economics.

Follow-up questions

  • Provide compensation agreements and benefits plan summaries.
Compensation, equity and employee-relations public gaps
areapublic evidenceverification statuswhy it mattersrequest
Executive compensation and employment agreementsNot publicnot_publicly_verifiableRetention, severance and change-in-control costs.Employment agreements and comp summary.
Incentive stock plans and option grantsNot publicnot_publicly_verifiableDilution and retention economics.Equity plan, grant ledger and 409A history.
Employee relations / turnoverNo public data; active engineering hiring visiblenot_publicly_verifiableExecution risk for rapid scale-up.Turnover, complaints, HR matters and retention packages.

VII.E Incentive stock plans

not publicly verifiable confidence: high

Stock plans, option grants, vesting schedules and strike prices are not public.

Evidence gaps

  • Equity incentive plan, grant ledger, 409A history, vesting schedules and repurchase rights.

Hidden risks

  • Unpriced option pool expansion or retention grants could dilute investors.

Follow-up questions

  • Provide option plan and fully diluted equity schedule.

VII.F Significant employee relations problems, past or present

not publicly verifiable confidence: low

No significant employee-relations problems were publicly verified; litigation reports involve competitors rather than employment claims.

Evidence gaps

  • Employment claims, complaints, investigations, IP assignments and culture/engagement survey data.

Hidden risks

  • Unreported employee claims, IP assignment defects or cultural attrition may exist.

Follow-up questions

  • Have counsel review employment matters and IP assignment completeness.

VII.G Personnel Turnover

not publicly verifiable confidence: medium

Turnover data was not public; active hiring and a small engineering-team claim create a diligence need for retention metrics.

Evidence gaps

  • Turnover by function/location, regretted attrition, offer acceptance, retention grants and performance management data.

Hidden risks

  • Key-person loss or inability to hire senior AI/security talent could slow roadmap and compliance execution.

Follow-up questions

  • Provide two-year turnover and retention package by function/location.
Chapter 08

08Legal and Related Matters

Legal diligence is material. Public sources show healthcare AI disclaimers, privacy/ad-data disclosures, partner/content licenses, a HIPAA-compliant-environment claim and publicized competitor litigation. Primary dockets, contracts, insurance, security audits, patents and regulatory correspondence were not public.

VIII.A Pending lawsuits against the Company

partially verified confidence: medium

HealthExec reports Doximity filed a lawsuit against OpenEvidence. Primary docket access was not available, so damages, status and counsel require legal follow-up.

Evidence gaps

  • Primary complaints, motions, docket status, damages, insurance, counsel assessment and settlement posture.

Hidden risks

  • Litigation outcome could affect IP, reputation, hiring and partner confidence.

Follow-up questions

  • Counsel should provide full docket and privilege-safe litigation memo for all active matters.
Pending lawsuits against OpenEvidence
case or counterpartypublic statuspublic allegation or issueverification statusdiligence request
Doximity v. OpenEvidenceHealthExec reports Doximity filed a lawsuit against OpenEvidenceDoximity allegedly accused OpenEvidence of using false claims as self-promotion and misinformation to harm Doximity / poach talent.partially_verifiedPrimary docket, complaint, motions, damages, insurance and counsel memo.
Other lawsuits against companyNo other specific cases verified in reviewed accessible sourcesNot publicly verifiablenot_publicly_verifiableCounsel litigation schedule and docket search.

Primary court dockets were not accessible in this environment.

Legal and regulatory event timeline Timeline of publicly visible legal/regulatory/contract events.

VIII.B Pending lawsuits initiated by Company

partially verified confidence: medium

HealthExec reports OpenEvidence sued Doximity and had previously sued Pathway Medical over alleged prompt-injection attacks; Pathway was reportedly dismissed.

Evidence gaps

  • Complaints, dismissal order, motion calendar, IP evidence, legal budget and counsel assessment.

Hidden risks

  • Adverse rulings could weaken trade-secret narrative or create fee/retaliation exposure.

Follow-up questions

  • Provide litigation docket package and outside-counsel assessment.
Pending lawsuits initiated by OpenEvidence
case or counterpartypublic statuspublic allegation or issueverification statusdiligence request
OpenEvidence v. DoximityHealthExec reports OpenEvidence sued DoximityAccusation that Doximity stole proprietary code / trade secrets; Doximity denies accusations per article.partially_verifiedPleadings, defenses, motion calendar, evidence preservation and counsel assessment.
OpenEvidence v. Pathway MedicalHealthExec reports suit filed in February and dismissed in JuneAlleged prompt-injection attacks against OpenEvidence LLM to leak secrets.partially_verifiedComplaint, dismissal order, fee exposure and relation to Doximity acquisition.

Summaries are from news coverage, not pleadings.

VIII.C Environmental and employee safety issues and liabilities

not publicly verifiable confidence: low

As a software/AI company, environmental and physical safety exposure appears limited, but workplace, data-security and clinical-output safety issues require private evidence.

Evidence gaps

  • EHS policies, workplace claims, incident reports, clinical safety governance, post-market monitoring and insurance.

Hidden risks

  • Clinical-output safety incidents or workplace issues may not be publicly disclosed.

Follow-up questions

  • Provide incident logs, clinical safety governance and insurance policies.
Regulatory, privacy, security and insurance posture
areapublic evidenceverification statusriskdiligence request
Clinical-decision support disclaimersTerms say service is educational/informational, not diagnostic or substitute for clinical judgment.verifiedReliance and regulatory perimeter.FDA/state/CDS legal memo and safety case.
Privacy and advertising dataPrivacy policy discloses NPI/license data and third-party advertising partners.verifiedHIPAA/privacy/consumer protection and reputational exposure.Data map, consent, BAA, DPA, subprocessor and ad-targeting review.
Security postureCompany states secure, HIPAA-compliant environment; hiring platform security role.partially_verifiedNo independent audit public.SOC 2/HITRUST, pen tests, incident history and BCP/DR.
Agency actions / insuranceNo specific agency action or insurance coverage verified from accessible public sources.not_publicly_verifiableUnknown enforcement, claims or coverage gaps.Agency correspondence, policies, claims/loss runs and counsel memo.

VIII.D Material patents, copyrights, licenses, and trademarks

partially verified confidence: medium

Material public IP evidence centers on content licenses and alleged proprietary code/trade secrets in litigation; authoritative patent/trademark schedules were not retrieved.

Evidence gaps

  • Patent/trademark schedule, copyright/license inventory, open-source SBOM, employee/contractor IP assignments and all content licenses.

Hidden risks

  • Open-source, model weights, data rights, copyright, patent ownership and employee invention assignments may be under-diligenced.

Follow-up questions

  • Provide IP schedule, licenses, SBOM and invention-assignment audit.
Material IP, licenses and contracts
asset or contracttypepublic statusverification statusrequest
NEJM content agreementContent licenseMulti-year agreement covering NEJM Group content from 1990 forward per PR.verifiedFull contract, economics, renewal and termination rights.
NCCN Guidelines licensing agreementContent license / QA obligationsNCCN announced licensing agreement and QA/source-linking requirements.verifiedFull license, QA procedures, indemnities and oncology coverage.
JAMA, Cochrane and society partner relationshipsContent/society partnershipDisplayed on homepage; not all partner-side confirmations reviewed.partially_verifiedAll agreements and partner confirmations.
Proprietary code, prompts, model outputs and trade secretsTrade secret / software IPSubject of reported competitor litigation.partially_verifiedIP ownership audit, invention assignments, SBOM, litigation evidence.
Patents/trademarks/copyrightsRegistered IPAuthoritative schedules not retrieved in this pass.not_publicly_verifiableUSPTO/WIPO schedules and counsel opinion.

VIII.E Insurance coverage and material exposures

not publicly verifiable confidence: high

Insurance coverage is not public. Product liability, cyber, E&O, D&O, employment and litigation coverage are critical given healthcare AI and lawsuits.

Evidence gaps

  • Insurance policies, limits, exclusions, claims history, reservation of rights and broker memo.

Hidden risks

  • Coverage gaps may leave the company exposed to AI-output, privacy, cyber or litigation claims.

Follow-up questions

  • Provide all current insurance policies and claims/loss runs.

VIII.F Material contracts

partially verified confidence: medium

Material public contracts include content licenses/partner agreements and possibly advertising/customer contracts; full terms are private.

Evidence gaps

  • All content licenses, advertiser contracts, customer MSAs, vendor/cloud/model agreements, BAAs and DPAs.

Hidden risks

  • Termination, exclusivity, indemnity or minimum-payment terms could materially affect value.

Follow-up questions

  • Provide material-contract schedule with economics, renewal dates and termination rights.

VIII.G Regulatory agency problems

inconclusive confidence: medium

No specific FDA/FTC/HHS/state enforcement action was verified in reviewed sources, but public terms/privacy disclosures and healthcare AI positioning create high-priority regulatory diligence questions.

Evidence gaps

  • FDA/FTC/HHS/state counsel memos, HIPAA BAAs, SOC 2/HITRUST, ad substantiation, complaint logs and agency correspondence.

Hidden risks

  • Regulatory agencies may scrutinize AI clinical claims, advertising, privacy, substantiation or product labeling.

Follow-up questions

  • Provide healthcare regulatory memo, privacy/security audit package and all agency correspondence.
Diligence risk heatmap Heatmap of full risk register by severity and likelihood.

Evidence

Evidence claims
IDClaimStatusSources
EC-001 OpenEvidence is publicly listed as a United States Health Technology unicorn with a $12B valuation dated January 2026. verified high SRC-001SRC-002
EC-002 OpenEvidence announced or was reported to have raised a $250M Series D at a $12B valuation co-led by Thrive Capital and DST, bringing total funding to about $700M. verified high SRC-002SRC-003
EC-003 OpenEvidence announced a $210M Series B round at a $3.5B valuation in July 2025, co-led by Google Ventures and Kleiner Perkins. verified medium SRC-004
EC-004 OpenEvidence announced a Sequoia-led Series A at a $1B valuation and a multi-year NEJM content agreement in February 2025. verified medium SRC-005
EC-005 OpenEvidence publicly positions itself as America's Official Medical Knowledge Platform and displays official AI partnerships with NEJM, JAMA/JAMA Network, NCCN and Cochrane. partially verified medium SRC-006
EC-006 NCCN announced a licensing agreement to make NCCN oncology guidelines accessible through OpenEvidence's medical AI technology with QA and source-link controls. verified high SRC-007
EC-007 Company-published sources claim substantial clinician adoption, including hundreds of thousands of verified HCPs, usage across more than 10,000 care centers, and over 40% of U.S. physicians logging in daily. partially verified medium SRC-004SRC-007SRC-012
EC-008 OpenEvidence and press sources describe rapid consultation growth: 18M clinical consultations in December 2025 and 1M consultations in a single day on March 10, 2026. partially verified medium SRC-003SRC-009
EC-009 OpenEvidence's public monetization story is free access for verified U.S. clinicians supported by advertising; TechCrunch reported the company said it surpassed $100M in revenue. partially verified medium SRC-003SRC-008
EC-010 OpenEvidence terms frame the service as clinical decision support and educational/informational content, not a diagnostic service or substitute for clinical judgment. verified high SRC-010
EC-011 OpenEvidence's privacy policy discloses collection of personal information, NPI or medical license data, marketing/communications information and third-party advertising partner activity. verified high SRC-011
EC-012 OpenEvidence's job board showed 10 public engineering openings, a claimed 30-person engineering team and roles in San Francisco and Miami, including security, data infrastructure, SRE, research scientist and applied AI. verified medium SRC-012
EC-013 Public background sources identify Daniel Nadler as co-founder/CEO and Zack Ziegler as co-founder of OpenEvidence, founded in 2022 to build AI medical search for healthcare professionals. partially verified medium SRC-004SRC-013
EC-014 OpenEvidence publicly describes significant R&D investment in medical-domain LLMs and DeepConsult, including that DeepConsult requires over 100x the compute and cost of a standard search. verified medium SRC-004SRC-005
EC-015 OpenEvidence acquired Amaro to support a modern advertising infrastructure, reinforcing dependence on ad monetization and advertising technology. verified medium SRC-008
EC-016 OpenEvidence is involved in publicized competitor litigation with Doximity and previously sued Pathway Medical over alleged prompt-injection attacks; the Pathway lawsuit was reportedly dismissed. partially verified medium SRC-014
EC-017 The competitive set includes Doximity GPT, Pathway Medical, general AI model makers and traditional medical-information products; TechCrunch analogized OpenEvidence to a doctor-focused medical information platform. partially verified medium SRC-003SRC-014
EC-018 Core financial-quality items—audited statements, ARR/revenue bridge, cash runway, debt, gross margin, CAC, churn, NRR and cap table—were not publicly available in the reviewed sources. not publicly verifiable high SRC-016
EC-019 Top customers, payer/provider contracts, advertiser contracts and revenue concentration were not publicly verifiable; public materials emphasize users, HCPs, care centers and partners rather than paying-customer revenue. not publicly verifiable high SRC-003SRC-006SRC-008SRC-016
EC-020 OpenEvidence stated its medical AI operates within a secure, HIPAA-compliant environment, but independent security audits and BAAs were not public. partially verified medium SRC-009SRC-012
Sources
IDPublisherTitleAccessed
SRC-001 Wikipedia Wikipedia: List of unicorn startup companies — OpenEvidence row 2026-05-23
SRC-002 CNBC OpenEvidence, the 'ChatGPT for doctors,' doubles valuation to $12 billion 2026-05-23
SRC-003 TechCrunch OpenEvidence hits $12B valuation, with new round led by Thrive, DST 2026-05-23
SRC-004 PRNewswire / OpenEvidence OpenEvidence announces $210 million Series B round at $3.5 billion valuation 2026-05-23
SRC-005 PRNewswire / OpenEvidence OpenEvidence achieves $1 billion valuation and announces NEJM content partnership 2026-05-23
SRC-006 OpenEvidence OpenEvidence homepage via Jina Reader 2026-05-23
SRC-007 National Comprehensive Cancer Network NCCN and OpenEvidence Collaborate to Bring Clinical Oncology Guidelines to Medical AI 2026-05-23
SRC-008 PRNewswire / OpenEvidence OpenEvidence acquires Google Ventures-backed AI startup Amaro 2026-05-23
SRC-009 PRNewswire / OpenEvidence OpenEvidence achieves 1 million clinical consultations between verified doctors and an AI system in a single day 2026-05-23
SRC-010 OpenEvidence OpenEvidence Terms of Use 2026-05-23
SRC-011 OpenEvidence OpenEvidence Privacy Policy 2026-05-23
SRC-012 OpenEvidence / Ashby OpenEvidence Ashby job board API 2026-05-23
SRC-013 Wikipedia Wikipedia: OpenEvidence 2026-05-23
SRC-014 HealthExec Doximity and OpenEvidence sue each other in spat over medical AI trade secrets 2026-05-23
SRC-015 CNBC CNBC Disruptor 50 profile: OpenEvidence 2026-05-23
SRC-016 User-provided workflow context User-provided task context and parsed Wikipedia candidate row 2026-05-23

Disclaimer

This report is a public-evidence diligence snapshot, not investment advice. Important financial, legal, technical, and contractual facts remain non-public and should be verified directly with management and primary documents before any investment decision.