Artificial Intelligence (AI) Enhanced Surveillance Data Platform
Past New Requirement Updated
- Agency
-
Customs and Border Protection
Department of Homeland Security
- Solicitation expected
- Estimated value
- $10,000,000 to $20,000,000
- Set-aside
- Total Small Business
Forecast facts
- Anticipated award
- Through
- NAICS code
- 541519 Other Computer Related Services
- Place of performance
- Ashburn, VA
- Forecast number
- F2026072745
- Points of contact
-
- Sandy McCoy-Lewis sandra.mccoy-lewis@cbp.dha.gov (571) 468-6153
Forecast details come from DHS's Acquisition Planning Forecast System. Agencies' dates and values are estimates.
About this forecast
The Department of Homeland Security Customs and Border Protection is forecasting a new requirement for the design, development, and implementation of an AI-Enhanced Surveillance Data Platform to support border threat detection, assessment, and response capabilities. The solution must incorporate modern data architecture, artificial intelligence and machine learning analytics, Zero-Trust Security Infrastructure, and real-time edge computing while maintaining compliance with DHS and CBP governance frameworks. The solicitation is estimated for release on March 6, 2026, with an anticipated award date of April 1, 2026.
The estimated award value ranges from $10 million to $20 million under a Firm Fixed Price contract vehicle through the GSA Schedule, with a performance period of one year beginning April 1, 2026 and ending March 31, 2027. This procurement is designated as a Total Small Business set-aside under NAICS code 541519 (Other Computer Related Services) with work to be performed in Ashburn, Virginia. The primary point of contact for this requirement is Sandy McCoy-Lewis at sandra.mccoy-lewis@cbp.dha.gov or (571) 468-6153, with David K. Harrod serving as the Small Business Coordinator at (202) 553-6456.
Forecast text
PR# 20153532
This effort requires the Contractor to provide a comprehensive range of services and deliverables for the design, development, and implementation of an advanced, AI-enhanced surveillance and data infrastructure. This infrastructure will support CBP's mission by improving the ability to detect, assess, and respond to border threats. The solution must leverage a modern data architecture, AI/Machine Learning (ML) analytics, Zero-Trust Security Infrastructure, and real-time edge computing, all in compliance with DHS and CBP governance frameworks
Acquisition Strategy: SB
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