AI-driven pricing, rating and risk modeling software for insurers and banks
Earnix sells pricing and risk-modeling software to insurance and banking operations, and its stack shows a clear GenAI build-out: AWS Bedrock, LangChain, LangGraph and RAG sit alongside a mature Kubernetes platform (EKS, Karpenter, Crossplane, Kyverno, ArgoCD). Hiring splits evenly between engineering and sales, skewed senior, pairing a next-generation AI engine with an effort to scale the sales machine across the US, UK and France.
Notable leadership hires: Sales Director
Earnix provides software that helps insurers and banks design products, set prices, and model risk and customer value. Its specialties cover predictive analytics, pricing, underwriting optimization and personalization, delivered as SaaS. Founded in 2001 and headquartered in Boston, Massachusetts, the privately held company has 201–500 employees. It operates across multiple clouds (AWS, Azure, GCP) and recruits in the United States, United Kingdom and France.
Earnix runs on AWS, Azure and GCP with Kubernetes (AWS EKS), Terraform, ArgoCD, Helm and Docker, Python, Datadog and Grafana, plus GenAI tooling like AWS Bedrock, LangChain and LangGraph.
Yes, at a steady pace, mainly in engineering and sales with additional data and ops roles. Most openings are senior, including a Sales Director, across the United States, United Kingdom and France.
Earnix is building a next-generation AI engine, backend infrastructure for GenAI applications, APIs and data pipelines for AI, predictive risk modeling, and an information security program.
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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.