Deposit placement network connecting 3,000+ banks for liquidity access
IntraFi operates a deposit placement network spanning over 3,000 banks—the largest in the US—enabling depositors to place billions across distributed institutions. The tech stack reveals a hybrid modernization effort: Java + AWS microservices (ECS, EKS, Lambda) alongside legacy SQL Server, with active migration to Power BI and SSO implementation underway. Engineering-heavy hiring (8 of 14 open roles, mostly senior/director-level) paired with projects around real-time risk dashboards and AI-driven risk models signals a push toward real-time operational visibility and automated risk quantification.
Notable leadership hires: Managing Director, Sales Director
IntraFi is the inventor of reciprocal deposits and operates the largest deposit placement network in the United States. The platform connects more than 3,000 banks—including community banks, minority depository institutions, regional and money-center banks—enabling tens of thousands of depositors (businesses, nonprofits, government entities, and high-net-worth individuals) to collectively place billions of dollars. Institutions gain access to tens of billions in funding capacity with per-depositor and per-bank limits and the ability to request large placements on any business day. The company was founded in 2002 and is headquartered in Arlington, Virginia.
IntraFi operates a network of more than 3,000 banks, the largest reciprocal deposit network in the US, including most community banks, minority depository institutions, and regional/money-center banks.
IntraFi uses Java, AWS (ECS, EKS, Lambda, RDS), SQL Server, DynamoDB, Salesforce, Talend, and Ping Identity for core operations, with ongoing adoption of Power BI and migration from SQL Server Reporting Services.
IntraFi'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.