Compliance monitoring platform for asset managers and investment banks
FundApps is a cloud-native SaaS platform automating regulatory compliance and reporting for large financial institutions. The tech stack—Python, C#, PostgreSQL, Aurora, DynamoDB, AWS Fargate, Lambda, React, TypeScript—reveals a modern distributed architecture built for scale and real-time data processing. Current hiring heavily favors marketing (3 roles) and manager-level positions across go-to-market functions, suggesting an active product expansion phase alongside efforts to strengthen regional market presence and partnerships with sell-side institutions.
FundApps monitors compliance across holdings disclosure, position limits, sensitive industry rules, and regulatory reporting for hedge funds, asset managers, pension funds, and investment banks. The platform covers over 100 jurisdictions and operates at significant scale within global financial services. Founded in 2010 and headquartered in London, the company operates as a privately held B Corp. Recent initiatives center on merging acquired product suites into a unified platform, launching new integrated capabilities, and expanding go-to-market reach in sell-side institutions across multiple regions.
FundApps uses Python and C# for backend services, PostgreSQL and DynamoDB for data storage, AWS infrastructure (Fargate, Lambda, Step Functions), React and TypeScript for frontend, and Terraform for infrastructure-as-code. Testing and deployment run through Cypress, TeamCity, and Octopus Deploy.
FundApps operates in the 51–200 employee range. Current hiring velocity is accelerating, with emphasis on go-to-market, product enablement, and customer success functions.
FundApps'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.