Navina builds an AI-first clinical platform for primary care providers, with a stack anchored in Epic, Athena, and Cerner integrations (HL7, Veradigm) plus PostgreSQL, Snowflake, and Python for data transformation. The company is actively scaling a data platform to handle clinical ingest at scale while developing an ambient AI copilot for workflow automation—both hard problems that explain their concentrated hiring in engineering (6 roles) and data infrastructure (Platform Lead position). The AAFP partnership signals they're embedded in physician workflows, not just selling to IT.
Notable leadership hires: Data Platform Lead, Tech Lead
Navina provides a clinical data platform that integrates fragmented EHR records into a single, intelligible patient view for diagnosis and care planning. The product ingests data from major healthcare systems (Epic, Athena, Cerner, Veradigm) and applies machine learning to surface diagnostically relevant information in real time. The company sells to primary care providers and payers; operational challenges around data at scale and complex sales cycles point to a B2B healthcare motion with long deployment cycles and technical integration requirements.
Navina integrates with Epic Systems, Athena, Cerner, and Veradigm, using HL7 as the data standard. The company also uses AWS RDS, Snowflake, and PostgreSQL for data storage and transformation.
Active projects include an ambient AI clinical copilot, risk adjustment solution, data platform ingestion and transformation, runbooks automation, and technical onboarding lifecycle design. The company is prioritizing an AI-first approach and scaling data-intensive infrastructure.
Navina'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.