A.M. Best-rated specialty P&C insurer building AI-driven underwriting and claims automation
Coaction Global is a specialty property and casualty insurer (A.M. Best A- rated) built on a modern cloud stack—Python, Java, C#, AWS, Redshift, Kubernetes—now executing a deliberate AI transformation across underwriting, claims, and regulatory workflows. The hiring velocity and project mix reveal an engineering-forward pivot: half their active roles are claims and engineering focused, with concurrent efforts on RAG document automation, agentic AI platforms, and straight-through processing. This signals a move from traditional broker-delegated underwriting toward automation-first operations.
Founded in 2009, Coaction Global underwrites specialty property, casualty, entertainment, executive liability, and multi-line coverages through open brokerage and delegated authority platforms. The company operates from Morristown, NJ with 201–500 employees and sells exclusively to U.S. customers. Their product and underwriting teams work alongside brokers and internal underwriters; claims handling and analytics capabilities are core operational assets. Current infrastructure spans AWS (RDS, Redshift, Lambda, ECS/EKS), Azure DevOps, and legacy systems including Duck Creek policy and billing platforms—a mix reflecting both mature insurance tech and active modernization.
Coaction Global holds an A.M. Best "A-" (Excellent) rating for financial strength and claims-paying ability.
Primary languages: Python, Java, C#, .NET. Cloud: AWS (Redshift, Lambda, ECS/EKS, RDS, VPC), Azure, Azure DevOps. Insurance platforms: Duck Creek (Policy, Billing). Data & governance tools: Verisk, LexisNexis, Jenkins, Kubernetes, Docker.
Coaction Global'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.