Canadian mutual insurer modernizing actuarial and administrative systems
UV Insurance is a 135-year-old Canadian mutual insurer offering individual life, group, and retirement products through a broker network. The tech stack is heavily Microsoft-centric (SQL Server, Azure, Power BI, Power Apps) with Guidewire for policy administration—a traditional insurance tech backbone now undergoing digital transformation. Active projects center on actuarial modernization (capital adequacy testing, predictive models, rule engine configuration), and the hiring mix signals engineering and sales acceleration, suggesting a push to automate actuarial workflows and expand product capabilities.
UV Insurance is a mutual partnership founded in 1889, headquartered in Drummondville, Quebec, with 201–500 employees. The company operates three business lines: individual life and critical illness insurance, group insurance, and investment and retirement products. Distribution flows through a national network of independent brokers. Operationally, UV Insurance emphasizes financial strength, customer service proximity, and community commitment. The organization is currently advancing digital transformation initiatives across actuarial functions, capital planning, and insurance product administration systems.
Microsoft ecosystem (SQL Server, Azure, Power BI, Power Apps, Azure Data Factory), Guidewire for policy administration, BPMN/UML for process modeling, Jira/Confluence for collaboration, and testing tools (Ranorex, SoapUI, TestRail).
Actuarial digital transformation, capital adequacy testing and optimization, Guidewire product configuration, predictive model implementation, and modernization of insurance administration systems.
UV Insurance'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.