ZavoContact us

Contact us

Backed byY Combinator

Data infrastructure for frontier medical AI.

Clinical data, medical expertise and environments to train and evaluate the next generation of medical AI.

Zavo is a research lab advancing medical AI through proprietary clinical data, expert knowledge and real-world training environments. We partner with healthcare institutions and medical experts to build the datasets, environments and evaluations that power the next generation of medical intelligence.

The complete stack for frontier medical AI.

From sourcing and structuring clinical data to expert annotation, training environments and evaluations, we support every stage of building medical AI.

Our products: Benchmarks, RL environments, Expert network and DataBenchmarksRL environmentsExpert networkData

About our data

Structured Data

Machine-readable clinical data including diagnoses, medications, procedures, laboratory results, vitals, genomics and structured EHR fields.

Unstructured Data

Clinical notes, reports, patient messages and narrative records capturing the context, reasoning and decisions behind patient care.

Imaging & Slides

Radiology, pathology, whole-slide imaging and other medical images linked to reports, annotations and clinical metadata.

Multimodal Data

Linked records combining clinical notes, imaging, laboratory results, signals, audio and other modalities across the same patient journey.

Medical Conversations

Clinician–patient conversations, consultations and dictated encounters capturing symptoms, clinical reasoning, decisions and treatment plans.

Longitudinal EHR

Connected patient histories spanning encounters, diagnoses, treatments, medications, investigations and outcomes over time.

Breadth of clinical data

  • DICOM
  • FHIR / HL7
  • Clinical notes
  • Patient–provider conversations
  • Audio
  • Structured EHR
  • Surgical video
  • Whole-slide pathology
  • ICU waveforms
  • Genomics
  • Retinal OCT
  • Digital histopathology

Specialised modalities

  • Cardiology
  • Neurology
  • Oncology
  • Radiology
  • Paediatrics
  • Dermatology
  • Psychiatry
  • Haematology
  • Endocrinology
  • Rheumatology
  • Nephrology
  • Gastroenterology
  • Ophthalmology
  • Orthopaedics
  • Anaesthesiology
  • Pathology

95+ medical specialties

Rare & specialised cohorts

Hard-to-source patient populations and clinically complex cases unavailable in conventional public datasets.

RL environments grounded in real clinical care

We transform clinical data, workflows and expert decisions into interactive environments where agents can reason through multi-step healthcare tasks and learn from verifiable feedback.

Grounded in real clinical workflows

Tasks derived from real patient journeys, clinical evidence and the decisions made throughout care.

Built for agent training

Interactive environments where agents investigate evidence, take actions and improve through task-level feedback.

Designed for measurable outcomes

Clear objectives and reward signals for evaluating reasoning, decision-making and task completion across model iterations.

  1. 01 / CONTEXTPatient contextHistory, symptoms and clinical evidence.
  2. 02 / ACTIONAgent decisionInterpret the evidence and choose the next action.
  3. 03 / FEEDBACKOutcome & feedbackEvaluate the decision against clinical evidence and expert-defined criteria.
Clinical reinforcement learning workflowPatient context informs an agent action. Feedback from evaluation loops back to help the agent improve. Illustrative workflow.01 / CONTEXT02 / ACTION03 / FEEDBACKPatient contextAgent decisionOutcome & feedbackHistory, symptoms and clinical evidence.Interpret the evidence and choose the next action.Evaluate the decision against clinical evidenceand expert-defined criteria.

Clinical evaluations built around your models.

We build evaluations grounded in real clinical data and expert judgement to measure healthcare AI across the capabilities that matter — from evidence interpretation and clinical reasoning to care planning and longitudinal decision-making.

Built around your use case

Evaluation datasets tailored to your models, specialties, workflows and target capabilities.

Grounded in expert judgement

Clinician-developed tasks, reference answers and scoring criteria for rigorous model assessment.

Track capability improvements

Consistent benchmarks for comparing model versions, identifying failure modes and measuring progress over time.

Healthcare AI evaluationZavo Clinical Eval
Model A
68
Model B
54
Model C
42
Evaluation areas
  • Clinical reasoning
  • Evidence interpretation
  • Longitudinal decision-making
Contact us to build a custom evaluation
Zavo Clinical Eval — illustrative evaluation dashboardExample model scores: Model A 68, Model B 54, Model C 42. These are illustrative results, not measured or published benchmarks. Evaluation areas include clinical reasoning, evidence interpretation and longitudinal decision-making.HEALTHCARE AI EVALUATIONZavo Clinical EvalModel A68Model B54Model C42EVALUATION AREASClinical reasoningEvidence interpretationLongitudinal decision-makingContact us to build a custom evaluation

A global healthcare data and expert network

Direct access to healthcare institutions and vetted medical experts across North America and EMEA for data sourcing, annotation, clinical evaluation and expert research.

Healthcare experts across the US, Canada, Europe and the Middle EastAn illustrative globe highlighting 31 countries across these regions.ZimbabweZambiaYemenVietnamVenezuelaVaticanVanuatuUzbekistanUruguayFederated States of MicronesiaMarshall IslandsNorthern Mariana IslandsUnited States Virgin IslandsGuamAmerican SamoaPuerto RicoUnited States of AmericaSouth Georgia and the IslandsBritish Indian Ocean TerritorySaint HelenaPitcairn IslandsAnguillaFalkland IslandsCayman IslandsBermudaBritish Virgin IslandsTurks and Caicos IslandsMontserratJerseyGuernseyIsle of ManUnited KingdomUnited Arab EmiratesUkraineUgandaTurkmenistanTurkeyTunisiaTrinidad and TobagoTongaTogoEast TimorThailandUnited Republic of TanzaniaTajikistanTaiwanSyriaSwitzerlandSwedeneSwatiniSurinameSouth SudanSudanSri LankaSpainSouth KoreaSouth AfricaSomaliaSomalilandSolomon IslandsSlovakiaSloveniaSingaporeSierra LeoneSeychellesRepublic of SerbiaSenegalSaudi ArabiaSão Tomé and PrincipeSan MarinoSamoaSaint Vincent and the GrenadinesSaint LuciaSaint Kitts and NevisRwandaRussiaRomaniaQatarPortugalPolandPhilippinesPeruParaguayPapua New GuineaPanamaPalauPakistanOmanNorwayNorth KoreaNigeriaNigerNicaraguaNew ZealandNiueCook IslandsNetherlandsArubaCuraçaoNepalNauruNamibiaMozambiqueMoroccoWestern SaharaMontenegroMongoliaMoldovaMonacoMexicoMauritiusMauritaniaMaltaMaliMaldivesMalaysiaMalawiMadagascarNorth MacedoniaLuxembourgLithuaniaLiechtensteinLibyaLiberiaLesothoLebanonLatviaLaosKyrgyzstanKuwaitKosovoKiribatiKenyaKazakhstanJordanJapanJamaicaItalyIsraelPalestineIrelandIraqIranIndonesiaIndiaIcelandHungaryHondurasHaitiGuyanaGuinea-BissauGuineaGuatemalaGrenadaGreeceGhanaGermanyGeorgiaGambiaGabonFranceSaint Pierre and MiquelonWallis and FutunaSaint MartinSaint BarthelemyFrench PolynesiaNew CaledoniaFrench Southern and Antarctic LandsAlandFinlandFijiEthiopiaEstoniaEritreaEquatorial GuineaEl SalvadorEgyptEcuadorDominican RepublicDominicaDjiboutiGreenlandFaroe IslandsDenmarkCzechiaNorthern CyprusCyprusCubaCroatiaIvory CoastCosta RicaDemocratic Republic of the CongoRepublic of the CongoComorosColombiaChinaMacao S.A.RHong Kong S.A.R.ChileChadCentral African RepublicCabo VerdeCanadaCameroonCambodiaMyanmarBurundiBurkina FasoBulgariaBruneiBrazilBotswanaBosnia and HerzegovinaBoliviaBhutanBeninBelizeBelgiumBelarusBarbadosBangladeshBahrainThe BahamasAzerbaijanAustriaAustraliaIndian Ocean TerritoriesHeard Island and McDonald IslandsNorfolk IslandAshmore and Cartier IslandsArmeniaArgentinaAntigua and BarbudaAngolaAndorraAlgeriaAlbaniaAfghanistanSiachen GlacierAntarcticaSint MaartenTuvalu
Countries highlighted
31
Healthcare professionals
12K+
Healthcare institutions
80+
Medical specialties
95+