Drug knowledge and clinical decision-support platform for healthcare systems
FDB operates a clinical decision-support platform delivering drug and medical-device knowledge to hospitals, pharmacies, physician practices, and payers. The tech stack (Azure data services + Salesforce + HubSpot) supports a data-heavy, B2B healthcare business. Current project focus—AI-enabled workflow automation, contract intelligence, and renewal analytics—paired with pain points around churn, forecasting, and process efficiency—reveals a company maturing its operational backbone while scaling content and analytics capabilities.
Founded in 1978, FDB (First Databank) supplies drug databases and clinical decision-support tools to the majority of U.S. hospitals, physician practices, pharmacies, and payers. The platform is used by millions of clinicians daily to inform medication dosing, drug interactions, pricing analysis, and medical-device selection. FDB operates from South San Francisco with 201–500 employees and sells primarily to healthcare systems, integrated delivery networks, and enterprise pharmacy networks. Revenue comes from database licensing, clinical-decision-support APIs, and analytics services.
FDB runs on Microsoft Azure (Cosmos DB, SQL Database, Data Factory, Functions, Logic Apps, Key Vault), Salesforce, HubSpot, Adobe, AWS, C#, and Webex. The Azure-centric architecture supports high-scale data pipelines and interoperability with hospital EHR ecosystems.
Yes. FDB has 1 active engineering role posted, with 4 total open positions across marketing, healthcare, product, sales, ops, and HR. Hiring is accelerating and limited to the United States.
FDB is focused on AI-enabled workflow automation, contract intelligence tools, renewal analytics, clinical research content authoring, and marketing automation—reflecting investment in both product AI capabilities and internal operational efficiency.
FDB (First Databank, Inc.)'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.