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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Komodo Health
Komodo Health

Komodo Health

Founded 2014

Analyze real-world healthcare data and run clinical analyses with conversational AI

Pricing model

Demo

You can use Komodo Health to analyze patient journeys, clinical outcomes, and healthcare markets using vast real-world health records. It pairs comprehensive medical data covering hundreds of millions of de-identified patients with specialized AI agents. You can query clinical datasets using plain language, run reproducible observational studies, and track treatment adoption across therapeutic areas. Teams can evaluate clinical trial feasibility, identify target patient cohorts, and examine provider prescribing patterns. Everything connects back to verifiable records, allowing life sciences teams to make defensible strategic and commercial decisions.

What Komodo Health does

Query de-identified patient datasets using plain EnglishMap patient treatment journeys across healthcare settingsMeasure market share and therapy adoption ratesIdentify target patient populations for trial recruitmentAnalyze provider referral networks and prescribing patternsGenerate reproducible healthcare evidence reportsHealthcare Map connecting over 1 trillion linked patient recordsCoverage of over 330 million de-identified U.S. patients refreshed dailyMarmot AI layer that produces reproducible and auditable analysesNatural language querying to execute multi-step research workflowsSpecialized applications and agents configured for life sciences teamsVerification safeguards that reveal the data lineage behind every answer

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Snowflake Data Sharing, AWS Marketplace, Python/R/SQL Support, GitHub (via MapLab), Epic (via Agent), Oracle Health (Cerner), athenahealth, HL7 FHIR

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Komodo Health, Marmot, Healthcare Map, real-world data, real-world evidence, healthcare analytics, patient journey, life sciences, clinical studies, pharmaceutical analytics, de-identified patient data, healthcare AI, clinical data science, provider tracking, market access