Payments data, risk scoring and compliance platforms for FinTech
Aperia builds hosted data and risk platforms rooted in payments, with a split stack: C#/.NET and React on one side, a Java Spring ecosystem on the other. The adoption of Microsoft Fabric alongside LangGraph and Cursor points to a shift toward AI-assisted risk scoring and Spark-based feature pipelines. Accelerating, senior-heavy engineering hiring across the US and Vietnam backs a legacy risk platform rebuild.
Aperia is a privately held company headquartered in Dallas, TX, founded in 2001, with 201–500 employees. It provides ETL, business intelligence and hosted SaaS platforms that grew out of finance, banking and payments work and now serve multiple industries. Its specialties span data management, compliance including PCI, customer service and custom development. The company hires in the United States and Vietnam, with hiring concentrated in engineering, followed by product and data roles.
Aperia uses C#, ASP.NET Core, .NET, React, TypeScript, Angular, Java with Spring Boot, Python, LangGraph, Kubernetes, RabbitMQ, PL/SQL, Azure DevOps, GitLab and Microsoft Fabric.
Job posts point to a next-generation risk analysis and scoring platform, LLM-powered features, an AI-powered ingestion platform, a LangGraph-based agentic app and Microsoft Fabric Spark feature pipelines.
Aperia hires in the United States and Vietnam, mostly for senior engineering roles, with additional product and data positions. Its headquarters is in Dallas, TX.
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Aperia'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.