This Government Contract opportunity from Department Of The Interior was posted on June 9, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Machine Learning & Anomaly Detection Integration
Contract Overview
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The contract involves the implementation of machine learning models and robotic process automation (RPA) tools aimed at enhancing the detection of anomalies, conducting predictive analytics, and automating the validation process for federal procurement data. This initiative focuses on improving the accuracy and oversight of procurement activities within the Department of the Interior, specifically under the Treasury Operations agency. The work is designated as a subcontract opportunity, identified under NAICS code 541715, which relates to research and development in the physical, engineering, and life sciences. The solicitation was posted on June 9, 2026, with a response deadline set for July 9, 2026. The project’s place of performance is in Washington, DC, within the zip code 20220. The contract is intended to leverage advanced analytics and automation to streamline federal procurement processes, reduce errors, and increase transparency, ultimately supporting better governance and operational efficiency in federal acquisitions.
General Info
Agency
NAICS
Place of Performance
Washington, DC, 20220, USASet-Aside
Documents
This scope was carved out of 2032H326N00099.
The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.
FPDS Monitoring, Reporting and Validation Services
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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