AI/ML Prototype Development for TSMO Data Solutions

The contract seeks to develop and test AI and machine learning prototypes aimed at solving high-priority transportation systems management and operations data challenges. The work will encompass the full lifecycle of prototype development, including data preprocessing, model design and training, validation against real-world transportation datasets, and seamless integration with existing transportation data systems. Emphasis will be placed on delivering practical, scalable solutions that enhance data utility, improve operational efficiency, and support decision-making in transportation management. The project requires expertise in AI/ML methodologies, data engineering, and familiarity with transportation data formats and infrastructure. This is a subcontract under the Department of Transportation, classified under NAICS code 541721 for research and development in the physical, engineering, and life sciences. The opportunity was posted on July 2, 2026, with a firm deadline for responses on August 3, 2026. The award is managed by the 693JJ3 Acquisition and Grants Management office, and performance will occur within the United States, though no specific location is designated. Interested parties must respond through the SAM.gov portal linked in the documentation, with no set-aside designation specified. The contract focuses on delivering functional, tested prototypes rather than large-scale deployment, positioning it as a critical step in advancing data-driven TSMO capabilities.