Automated Data Anomaly Detection System Development

The contract involves the development of automated tools and scripts designed to detect anomalies and errors within crash data, focusing on enhancing data quality and reliability. Key tasks include integrating these tools with the National Highway Traffic Safety Administration’s (NHTSA) existing data ingestion pipeline and creating validation models to ensure accurate and consistent data processing. The work supports the broader goal of improving the accuracy of crash data analysis for safety and regulatory purposes. This subcontract opportunity, issued by the NHTSA Office of Acquisition under the Department of Transportation, is classified under the NAICS code 541512, which typically covers computer systems design services. The project is based in Washington, D.C., with a response deadline set for mid-May 2026. The contract does not specify a set-aside category, suggesting it is open to qualified bidders in the relevant technical domain. The emphasis on automation and integration highlights the demand for advanced technical expertise in data systems and modeling within a federal government framework.