Pondera uses prediction algorithms and machine learning to predict, detect, and investigate fraud, waste, and abuse in healthcare and government programs.Request A Demo
Our core detection system, FraudCaster® (formerly Fraud Detection as a Service – FDaaS), helps our clients detect and prevent hundreds of millions of dollars in improper payments in Medicaid, Unemployment Insurance, the Supplemental Nutrition Assistance Program (SNAP), health plans, and other large government programs.
Import your leads into our intuitive case management system where you can manage, collaborate, and close cases. Analyze and report on case loads and productivity.
Pondera’s proprietary data health analytics and vulnerability assessment improves data quality, reduces false positives, and improves fraud detection and compliance.
Enable your team to protect your public benefits program from the risk associated with potentially fraudulent and improper payments with Thomson Reuters ID Risk Analytics. Combining your agency data with identity verification and deep human analytical review provides an unmatched ability to detect, prevent and investigate fraud within your program.
Pondera supports the federal government’s efforts to identify individual cases of fraud or abuse as well as trends, patterns, and clusters that may indicate existing or emerging problems.
Our industry experts are happy to provide an in-person or web conference overview that is customized to your organization and your needs.