Komodo Health

Komodo Health’s platform is built on the Healthcare Map, a U.S. healthcare data foundation of 1 trillion+ linked records and 330M+ de-identified patients, refreshed daily. Marmot, its healthcare AI, runs analyses on that data and shows its work. Teams use them for patient journey and population analytics, real-world evidence and commercial decisions, and Komodo’s research team also supports HEOR and RWE studies.

Real-World Data and Population Analytics

• Analyze patient journeys from symptoms through diagnosis, referral, treatment, and drop-off to identify population patterns and points of delay. MapExplorer offers a no-code workflow across 330 million patient journeys, MapView adds pre-built dashboard templates, and MapAI answers plain-language questions inside the MapLab analytics environment.
• Work from linked data: Komodo links 60+ sources at the patient level, resolving conflicts through normalization, tokenization, deduplication and certification, and MapEnhance adds labs, genomics and SDOH to the same records. In Sentinel, its custom analytics environment, teams link their own datasets through universal tokenization and run their own models, and MapLab Enterprise supports real-world evidence on treatment patterns, outcomes, and costs.

Evidence, HEOR, and Study Planning

• Answer feasibility questions while a study design can still change: Marmot constructs the cohort, applies methods a team has already validated, records every choice, and sizes patient populations before study decisions. Komodo’s research team can validate or run HEOR and RWE studies with an expert-developed protocol, manual validation, and a publication-grade report.
• Compare matched cohorts with documented matching criteria and sensitivity checks, create retrospective external control arms, run cost-effectiveness studies, and carry validated cohorts across burden, cost, and outcomes studies.

Commercial, Clinical, and Medical Workflows

• Guide commercial decisions by identifying priority HCPs, tracking brand and competitor performance, designing territories based on actual data, and constructing launch curves from relevant analogs with Komodo Drug Projections, which delivers observed and projected drug utilization side by side. Field Sales Insights supports HCP identification, brand performance tracking, and market-shift monitoring.
• Support clinical and Medical Affairs planning by testing eligibility criteria against patient records, finding treating HCPs and eligible patients, assessing site feasibility, and mapping patient movement for protocol design. Pulse sends patient alerts to clinical, commercial and Medical Affairs teams, Aperture identifies and prioritizes HCPs and KOLs, and Marmot tracks diagnosis rates, guideline-concordant treatment and time to therapy for Medical Affairs.

Best Fit

• Life-sciences teams that need a shared real-world data foundation for population analysis, patient-journey research, commercial planning, or evidence generation.
• HEOR, clinical development, commercial, and Medical Affairs teams that need data-supported study planning, cohort analysis, expert identification, or field prioritization.