Feedback Loop and Model Retraining System

The contract involves developing a feedback loop and model retraining system aimed at enhancing the accuracy of machine learning-based risk alerts by incorporating validation from field personnel. Field staff will provide real-world outcomes to confirm or refute the risk alerts, enabling continuous refinement and retraining of the predictive models. This mechanism is critical to ensure that the risk assessment tools remain relevant and reliable in practical operational settings. Issued by the Department of Transportation through its Office of Acquisition Management, this subcontract opportunity has a solicitation period ending on June 8, 2026. The work will be performed in Washington, D.C., under the NAICS code 541690, which relates to other scientific and technical consulting services. The initiative focuses on creating a dynamic system that bridges real-world feedback with advanced analytics to improve safety and operational decision-making processes.