Financial Forensics & Fraud Detection Analytics

The contract seeks to design and implement AI-driven tools capable of processing unstructured financial data to automate transaction categorization, detect anomalies, and generate fraud signals for use in criminal investigations. The work focuses on enhancing financial forensics capabilities by leveraging machine learning and data intelligence to rapidly identify suspicious patterns and behaviors within complex datasets commonly encountered in treasury and law enforcement contexts. The system must handle diverse data sources, adapt to evolving fraud tactics, and deliver actionable intelligence with high accuracy and minimal latency. This subcontract is issued under the Department of the Treasury’s Operation Services with a NAICS code of 541690, indicating it falls under other scientific and technical consulting services. Performance is expected to occur in Washington, DC, with a response deadline of May 5, 2026, at 9:00 PM Eastern Time. The solicitation was posted on April 29, 2026, and is targeted at qualified entities capable of delivering advanced analytical solutions without reliance on predefined templates or structured formats, emphasizing innovation in unstructured data interpretation for investigative outcomes.