CATCH Intelligence builds data analytics and intelligence systems for organizations that need to turn raw information into operational decisions, with named work spanning state Departments of Labor, healthcare and hospital systems, and businesses focused on profitability and efficiency. Much of the documented work centers on public-sector fraud prevention, where CATCH has helped state DOLs address unemployment insurance fraud and overpayment.
The work is built around CATCH Analytics, described as tailored to each client's specific use case rather than a fixed product, and centers on unlocking custom insights meant to affect performance across an organization. For healthcare clients, this includes integrating and analyzing business intelligence data across hospital systems and clinics. For government clients, it includes defining paths to improve interdepartmental efficiency while staying within regulatory requirements, and establishing real-time intelligence flows so departments can optimize resources and act on opportunities as they arise. Reporting and monitoring systems are also part of the offering, aimed at giving leadership timely visibility into performance and shareholder value.
The clearest proof point in the notes is an AI application CATCH delivered to surface fraud, waste, and abuse, which empowers between 50 and 100 investigators to detect and prevent it across the United States. Tied to this and related fraud-detection work, CATCH is credited with helping state DOLs save more than $3 billion in taxpayer funds in the fight against unemployment insurance fraud and overpayment. Together these examples point to an agency oriented around applied analytics and AI in high-stakes, regulated environments rather than general-purpose reporting or dashboards.