Web-based pensions administration software for DB, DC and risk transfer schemes
Procentia builds IntelliPen, a pensions administration platform covering calculations, payroll and member self-service. Its stack pairs C#, SQL Server and a React/TypeScript front end with Python, FastAPI, Databricks and Spark, while job posts point to an active Azure migration and legacy application modernisation. Accelerating, engineering-led hiring with a dedicated security role aligns with ISO 27001 and SOC 2 upkeep.
Procentia is a Bristol-headquartered, privately held software company founded in 2002, focused on pensions and the pension risk transfer market. Its core product, IntelliPen, is a web-based administration and management system used by administrators, employers and trustees to run defined benefit and defined contribution schemes. Functionality spans pension payroll, accounting, reporting, benefit calculations and member self-service. The company employs 51–200 people, has offices in the UK and North America, and serves large schemes across private and public sectors.
Procentia runs on Azure (App Service, VMs, Key Vault, DevOps) with C#, SQL Server, Python, FastAPI, Databricks and Spark, plus React, TypeScript and Vite on the front end. Terraform handles infrastructure.
Yes. Hiring is accelerating and weighted toward engineering, mostly mid-level, with additional openings in product, security, marketing and support, all based in the United Kingdom.
Current work includes migrating to Azure, modernising existing applications, client data migrations, IntelliPen configuration, automated pensions calculations and pensioner payroll processing.
Other companies in the same industry, closest in size
Procentia - Pensions Software Solutions'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.