SaaS platform for brokers, insurers, and MGAs across general insurance
Acturis operates a mature SaaS platform built on a Microsoft-centric stack (SQL Server, C#, Java, Active Directory, M365) serving the general insurance sector. The company is actively migrating to cloud infrastructure (M365 consolidation underway) while building AI-driven capabilities into the core platform, and is hiring across engineering and support at accelerating velocity — engineering roles dominate the open headcount, signaling product development and implementation workload as growth drivers.
Acturis is a SaaS provider serving brokers, insurers, and managing general agents in the general insurance industry across the UK and 40+ countries. The platform supports over 100,000 users and the company operates from London with 501–1,000 employees. Core work spans system development, customer implementations and upgrades, and web-based solutions for clients. Current initiatives include M365 infrastructure consolidation, reducing legacy system complexity, and introducing AI-driven features into the platform. The company is expanding hiring into North American markets (US and Canada) alongside UK operations.
Acturis runs on Oracle SQL, C#, Java, and C++ for core platform development, with Microsoft infrastructure (Exchange, OneDrive, Intune, Active Directory, Configuration Manager) and Windows endpoints. Jira and Confluence support internal operations.
Core projects include system enhancements, customer implementations and upgrades, M365 consolidation, web solution development, and embedding AI-driven capabilities into the platform. The company is also addressing legacy system complexity and expanding into new markets.
Acturis Limited'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.