Navina consolidates fragmented patient data into a single clinical interface, using GPT and machine learning to surface diagnostically relevant information for primary care physicians. The tech stack—SQL, Python, R, PostgreSQL, Snowflake, AWS—handles both data transformation and the ML pipeline, while integrations with Epic, Athenahealth, Cerner, and FHIR/HL7 standards address their core pain point of fragmented EMR data. Hiring is accelerating across engineering and data (13 combined roles), with a senior-heavy leadership bench, suggesting they're scaling both product depth and go-to-market complexity.
Notable leadership hires: Director of Sales, Data Platform Lead
Navina builds a diagnostic platform for primary care practices that reorganizes disorganized patient records into a structured, AI-assisted clinical workflow. The product targets physicians and practice administrators seeking to reduce diagnostic delays and administrative overhead. The company integrates with major EMR systems (Epic, Athenahealth, Cerner) and uses machine learning to flag clinically important signals within each patient's record. Current strategic focus spans risk adjustment solutions, EMR integration depth, and market expansion within primary care networks. Navina is a partner organization within the American Academy of Family Physicians Innovation Lab.
Navina integrates with Epic Systems, Athenahealth, Cerner, and Veradigm, and supports HL7 and FHIR standards for broader healthcare data interoperability.
Yes. Navina has 7 active engineering roles and 6 data roles posted, with hiring velocity accelerating and seniority skewed toward senior and director levels.
Core infrastructure: PostgreSQL, Snowflake, AWS, and AWS RDS. Application layer: Python, R, SQL, Node.js, React/React Native. ML/AI: GPT integration, Pandas, PySpark. Recently adopted Jira for project management.
Other companies in the same industry, closest in size