Request for Information (RFI) - Artificial Intelligence for Image Adjudication
Overview
Buyer
Place of Performance
NAICS
PSC
Set Aside
Original Source
Timeline
Qualification Details
Fit reasons
- NAICS alignment with historical contract wins in similar service areas.
- Scope strongly matches core technical capabilities and delivery model.
Risks
- Past performance thresholds may require one additional teaming partner.
- Potential clarification needed on staffing minimums before bid/no-bid.
Next steps
Validate eligibility requirements, assign capture owner, and schedule partner outreach to confirm teaming strategy before submission planning.
Quick Summary
The U.S. Customs and Border Protection (CBP), under the Department of Homeland Security, has issued a Request for Information (RFI) for Artificial Intelligence (AI) and Machine Learning (ML) models to assist in Non-Intrusive Inspection (NII) image adjudication. This RFI aims to gather information on how to best develop and implement AI/ML to improve efficiency and effectiveness in processing high volumes of X-ray images and associated metadata from large-scale (LS) imaging systems used for privately owned vehicles (POVs) and cargo vehicles. This is for planning purposes only and is not a Request for Proposal (RFP).
Scope of Work
CBP is seeking information on modular AI/ML algorithms and models that can:
- Operate on large-scale NII imagery and metadata, with an emphasis on WCO UFF format.
- Be adapted to CBP operational needs and constraints.
- Integrate as drop-in components within existing CBP architectures, avoiding new proprietary data platforms.
Specific Information Requested from Vendors
Vendors are asked to describe:
- Developed or developing algorithm products for applications like anomaly detection, manifest/commodity verification, conveyance modification detection, and contraband detection, including performance metrics.
- Development approaches, including model types, generalization capabilities, and limitations.
- Capabilities in image segmentation and supported image formats (including UFF).
- Technical dependencies, system requirements, and integration approaches.
- Field testing experience, operational settings, and performance results (detection and false alarm rates).
- Methods and requirements for training, verification, and deployment, including handling of incomplete or inconsistent metadata.
- How AI/ML models evolve through continuous training and performance monitoring.
- Specific contraband or conditions their AI/ML addresses and supported LS-NII modalities.
- Strategies for minimizing technical risk and life cycle costs.
- How industry can help standardize technology and leverage solutions for interoperability.
- Subcontracting/teaming arrangements, including small/disadvantaged businesses.
- Collaborative activities to encourage open architecture, non-proprietary AI/ML solutions.
Submission & Deadlines
- Questions Due: May 15, 2026, by 12:00 PM EST.
- Responses Due: May 30, 2026, by 12:00 PM EST.
- Submission Method: Electronic via email. Files larger than 10 MB must be broken down.
- Page Limit: Fifteen (15) pages, excluding certain introductory pages.
Contract & Timeline
- Type: Request for Information (RFI) / Sources Sought
- Set-Aside: None specified (market research stage)
- Published: April 30, 2026
Additional Notes
This RFI is for Government Market Research only and does not constitute a commitment to procure. All costs associated with responding are at the respondent's expense. Information provided is subject to change and is not binding on the Government.