Tech-enabled benefits brokerage for employer health plan management
Nava Benefits operates a modern benefits brokerage with a full-stack web application (React/Next.js frontend, Node.js/Nest.js backend, PostgreSQL database) and early-stage AI integration (OpenAI, Anthropic, Langfuse). The tech choices—GraphQL for API design, Dagster + dbt for data pipelines, Airbyte for integration—signal a platform moving beyond transactional broker workflows toward data-driven renewal and compliance workflows. Current hiring is heavily weighted toward support (5 open roles) rather than engineering, indicating they're scaling customer success operations faster than product development.
Nava Benefits is a benefits brokerage platform serving mid-market employers navigating health plan renewals, compliance, and employee benefits optimization. Since 2019, the company has worked with 600+ employers covering 70,000+ employees. The product, Nava HQ, consolidates plan management, renewal administration, audit trails, and employee communication into a single interface—replacing the spreadsheet-heavy workflows that dominate traditional brokerages. The company is based in New York City and operates primarily in the United States. Nava combines brokerage domain expertise with software engineering and machine learning capabilities to reduce administrative burden and extract cost savings during annual renewal cycles.
Frontend: React and Next.js with Vite. Backend: Node.js, Nest.js, Express.js, GraphQL. Data: PostgreSQL, Airbyte, Dagster, dbt. AI: OpenAI, Anthropic, Langfuse. Infrastructure: AWS. HR integrations: UKG, Gusto, Rippling, Paylocity, ADP.
Since launch, Nava has worked with 600+ employers covering 70,000+ employees. Clients report 20+ hours monthly in HR time savings and 8+% renewal savings.
Nava Benefits'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.