Earnix builds predictive analytics and pricing software for insurance and banking operations. The stack is Java/Python on Kubernetes with PostgreSQL and Oracle backends, now integrated with OpenAI API and AWS Bedrock — a recent addition pointing toward LLM-powered underwriting and decisioning. Pain-points centered on pricing model accuracy, complex enterprise contracts, and implementation friction suggest a shift toward faster time-to-value in an API-first architecture.
Earnix is a 20-year-old software company headquartered in Boston serving insurance and banking operations teams. The platform delivers predictive modeling, pricing optimization, risk analysis, and customer lifetime value analytics — primarily through composable, real-time SaaS modules. Customers deploy on AWS, GCP, or Azure. The company operates a Guidewire accelerator program and maintains a partner certification track, indicating a partner-led go-to-market alongside direct sales.
Java and Python for application logic; Kubernetes and Docker for orchestration; PostgreSQL and Oracle for data; AWS, GCP, Azure for cloud; OpenAI API and AWS Bedrock for LLM features; React and TypeScript for frontend; Jenkins and Prometheus for CI/CD and monitoring.
Boston, Massachusetts. The company was founded in 2001 and currently employs 201–500 people, with active hiring in the United States and United Kingdom.
Earnix'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.