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This Sources Sought opportunity from Department Of Homeland Security was posted on May 27, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Request for Information (RFI) - Artificial Intelligence for Image Adjudication

Closed
RFQ2026Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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AI Contract Overview

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The U.S. Department of Homeland Security, through its Border Enforcement Contracting Division and Customs and Border Protection Office of Field Operations, has issued a Request for Information (RFI) titled "Request for Information (RFI) - Artificial Intelligence for Image Adjudication" under solicitation number RFQ2026 to explore industry capabilities in AI and machine learning for enhancing Non-Intrusive Inspection (NII) image analysis. This RFI is strictly for market research and planning purposes, with no intention to form a binding contract or issue a formal solicitation at this stage. The goal is to identify AI/ML tools capable of supporting human-in-the-loop adjudication of NII scans by automating anomaly detection, identifying conveyance modifications, validating manifests, detecting narcotics and contraband, and verifying commodities, with a focus on high-volume scanning of private vehicles and cargo. Respondents are expected to provide algorithmic components that can integrate into existing CBP-owned platforms and viewers, not proprietary data systems or case management software. Submissions must include a company information page with legal entity details such as name, UEI, CAGE code, DUNS number, socio-economic status, and federal contract availability, along with technical and contractual points of contact, and must be submitted electronically in Word or PDF format, not exceeding fifteen pages and ten megabytes per file. All responses must be sent via email to the designated points of contact by the deadline of May 30, 2026, with proper subject line formatting indicating submission details. Responses are voluntary, and respondents assume full responsibility for all associated costs. No formal evaluation criteria, contract clauses, delivery schedules, or pricing structures are included because this RFI is not a procurement action; it is a preliminary step to assess market readiness and technological feasibility. Access to CBP systems would require contractors to undergo a Background Investigation if future phases involve system integration or onsite collaboration. The place of performance is Washington, D.C., and the NAICS code for this effort is 541330. Questions were due by May 15, 2026, and responses are no longer being accepted as of the deadline.

General Info

DHS seeks AI solutions for image analysis; responses due May 30, 2026, open to all entities.

Agency

Department Of Homeland Security → Border Enforcement Contracting DivisionView Agency

NAICS

541330 - Engineering ServicesView NAICS

Place of Performance

Washington, DC, 20004, USA

Set-Aside

NONE

Documents

(3)

Questions and Answers - RFI for AI/ML Image Adjudication

PDFq-and-a

RFI AI-ML Image Adjudication Requirement V2

PDFrfi

RFI for AI/ML Image Adjudication - DHS CBP

PDFrfi

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Timeline

3 updates
PhaseClosed
Posted

Sources Sought

Amendment 1

Contract was updated

Amendment 2

Contract was updated

Amendment 3

Contract was updated

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Homeland Security → Border Enforcement Contracting Division
Contacts2 people available
OfficeWASHINGTON, DC, 20229, USA
Organization / Agency
Department Of Homeland Security → Border Enforcement Contracting Division
View Agency Profile
Office AddressWASHINGTON, DC, 20229, USA

Full Description

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NOTICE: THIS IS A REQUEST FOR INFORMATION (RFI) ONLY. PLEASE SEE THE ATTACHED DOCUMENT CONTAINING THE REQUIREMENT AND SUBMISSION DETAILS. 



QUESTIONS AND ANSWERS HAVE BEEN POSTED. PLEASE REVIEW THE ATTACHED DOCUMENT. 

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