Real-world healthcare data marketplace with 340M+ patient records
HealthVerity operates a HIPAA-compliant data marketplace aggregating medical claims, pharmacy claims, EHR notes, lab results, and consumer data across 340+ million U.S. patients. The tech stack reveals a data-heavy architecture (Databricks, Spark, Snowflake, multiple BI tools) paired with compliance and governance tooling (Drata, Vanta, Qualys), suggesting the company is balancing rapid analytics delivery with the regulatory rigor healthcare data demands. Active hiring skews toward operations and data roles—consistent with scaling a marketplace that must continuously validate, license, and distribute linked datasets while managing complex rebate workflows and contract disputes.
HealthVerity builds a marketplace enabling pharmaceutical, biotech, health plan, and healthcare provider organizations to discover, license, and combine de-identified healthcare and consumer datasets. The platform surfaces linked medical and pharmacy claims, structured EHR data including physician notes, lab results, and consumer behavioral signals—designed to accelerate real-world evidence generation and clinical trial insights. The company operates in Philadelphia and serves mid-to-large healthcare organizations. Current operational priorities center on scaling rebate automation and contract management, reducing payment disputes, and streamlining sales cycles for new data partnerships.
Python, Databricks, Apache Spark, Snowflake for data processing; AWS, GCP, Azure for cloud infrastructure; Salesforce for CRM; Tableau, Power BI, QuickSight for analytics; Drata and Vanta for compliance.
HealthVerity Marketplace provides access to linked, de-identified datasets representing more than 340 million U.S. patients across medical claims, pharmacy claims, EHR, lab, and consumer data sources.
HealthVerity's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.