This Government Contract opportunity from Department Of Veterans Affairs was posted on May 7, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Data Discovery and Classification Engine Development
Contract Overview
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The contract seeks the development or customization of AI and machine learning-powered data discovery and classification engines designed to detect, identify, and tag personally identifiable information, protected health information, and controlled unclassified information across diverse data environments including databases, file shares, and cloud storage platforms. The solution must effectively handle both structured and unstructured data sources, ensuring accurate classification and tagging to support compliance, security, and data governance requirements. The engine should be scalable, adaptable to evolving data formats, and capable of integration into existing infrastructure without disrupting operations. This is a subcontract opportunity issued by the Department of Veterans Affairs through the Technology Acquisition Center Nj, with a North American Industry Classification System code of 541511. The solicitation was posted on May 7, 2026 and responses are due by May 14, 2026 at 4:00 PM. The place of performance and specific delivery locations are not specified, and there is no set-aside designation indicated. Interested parties must submit proposals before the deadline and should be prepared to demonstrate technical expertise in AI/ML model development, data classification methodologies, and experience securing sensitive government data types.
General Info
Agency
NAICS
Place of Performance
NJSet-Aside
Documents
This scope was carved out of 36C10B26Q0418.
The full solicitation package (6 documents), including the RFP, is on the prime solicitation, not on this scope.
DA10--VA-26-00029054 - Data Loss Prevention (DLP) Infrastructure Solution - New Requirement
AI Contract Breakdown
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Timeline
Submission Closed
Organization & Contact Information
Full Description
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