Insly builds core insurance software for MGAs and insurers, handling underwriting through accounting. The stack reveals an infrastructure-first engineering organization: heavy AWS adoption (EC2, EKS, ALB, Terraform, CloudFormation), containerization via Kubernetes (actively adopting), and a modern CI/CD pipeline (TeamCity, Jenkins). Current hiring momentum is concentrated in engineering and product roles at senior/mid level, with onboarding and implementation work consuming half of visible project work—signaling scaling friction as customers land.
Notable leadership hires: Delivery Lead
Insly is a London-based insurance software company founded in 2013, serving MGAs (Managing General Agents) and insurers with a unified platform spanning underwriting, policy issuance, and accounting. The product targets the operational and cost reduction needs within insurance operations, particularly around broker workflows and policy lifecycle automation. The organization operates 51–200 people, with engineering-led development (5 open roles), supported by product and operations teams. Recent infrastructure work centers on Kubernetes modernization and onboarding automation, indicating a shift toward scalable, self-service customer implementation.
Insly runs on AWS infrastructure (EC2, EKS, RDS via VPC/ALB), infrastructure-as-code (Terraform, CloudFormation), containerization (Kubernetes, Docker), and a modern CI/CD pipeline (TeamCity, Jenkins). Frontend is React/JavaScript; backend uses Node.js, PHP, and Java. Observability via New Relic and CloudWatch.
Current projects focus on AWS cloud infrastructure, Kubernetes modernization, CI/CD optimization, and customer onboarding automation. Half of active work targets reducing onboarding time, improving implementation consistency, and scaling onboarding capacity—indicating a customer implementation bottleneck.
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Insly'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.