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

Artificial Intelligence, Machine Learning, and Data Science (AI/ML/DS) Technical Support Services

Closed
70RSAT26RFI000015Federal

Contract Overview

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

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National Acquisitions - Co

POSTED

about 17 hours ago

DEADLINE

in 2 days
NAICS: 541611
New
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Risk Management, Financial Analysis and Administrative Support Services
Solicitation # 47QACA26R0306
Solicitation 47QACA26R0306 is a request for proposal for a single-award indefinite delivery, indefinite quantity contract to provide risk management, financial analysis, and administrative support services for the Small Business Administration Office of Capital Access, specifically the Office of Credit Risk Management. This is a 100 percent set-aside restricted to responsible SBA-certified Women-Owned Small Businesses under NAICS code 541611. The contract consists of a base year and four option years, with an anticipated base period of performance from October 6, 2026, through October 5, 2027. Services will be performed on a labor-hours basis at the SBA Headquarters in Washington, D.C., with an estimated total value ranging between 7.5 million and 9.5 million dollars. The selected contractor will provide personnel to augment the SBA workforce in areas such as delegated authority management, risk diagnostics, and the execution of desktop reviews and financial analyses to assess 7(a) lender risk. Key responsibilities include utilizing federal systems like the Lender Portal and Capital Access Financial System, preparing internal correspondence for stakeholders, and managing loan transfers and invoice resolutions. Required labor categories include an On-Site Supervisor, Financial Analysts, and Program Analysts. Technical and price proposals are due by 9 a.m. Eastern Standard Time on September 21, 2026, and must be submitted via email to the designated point of contact.
Pbs R4 (amd) Acquisition Management Division

POSTED

about 17 hours ago

DEADLINE

in 9 days

AI Contract Overview

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The Department of Homeland Security Science and Technology Directorate is seeking market research through a Request for Information to identify small and industry capabilities in artificial intelligence, machine learning, and data science to support the development and evaluation of advanced passenger and baggage screening technologies for the Transportation Security Administration. With projected passenger volumes rising from three million to ten million per day over the next decade, the goal is to enhance checkpoint security, throughput, and passenger experience through AI/ML/DS-driven solutions. Respondents are expected to demonstrate expertise in developing and assessing automated image analysis software, supporting testing and validation of algorithms, contributing to open architecture data and metadata standards, and creating tools for training, validation, and assurance of screening technologies. The RFI seeks insights on technical capabilities, staffing capacity, project management approaches, and strategies for addressing capability gaps, with no formal evaluation or award anticipated. All submissions must be electronic, limited to a four-page technical response plus a cover letter, and submitted via email to Jennifer.Koons@hq.dhs.gov no later than noon Eastern Time on May 12, 2026. Each technical response must be exactly one page and address one of four specified questions using Times New Roman, size 11 font. The cover letter must include the respondent’s SAM Unique Entity Identifier, size and socioeconomic status under NAICS 541611, point of contact details, GSA contract and OASIS+ domain information, and technical and contracting representatives. Individual attachments must not exceed five megabytes, and responses must be unclassified. No physical submissions, classified materials, or proprietary information are permitted. The solicitation number is 70RSAT26RFI000015, and while responses may inform a future task order under the GSA OASIS+ contract vehicle, this RFI itself does not constitute a solicitation or create any contractual obligation. The primary place of performance is Washington, DC, and all responses must comply with these submission standards to be considered.

General Info

DHS seeks AI/ML support to enhance TSA passenger and baggage screening technologies.

Agency

Department Of Homeland Security → Sci Technology Acq DivisionView Agency

NAICS

541611 - Administrative Management and General Management Consulting ServicesView NAICS

Place of Performance

DC

Set-Aside

NONE

Documents

(1)

RFI 70RSAT26RFI000015 AI/ML/DS Technical Support Services

PDFrfi

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Timeline

PhaseClosed
Posted

Sources Sought

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Homeland Security → Sci Technology Acq Division
Contacts1 person available
OfficeWASHINGTON, DC, 20528, USA
Organization / Agency
Department Of Homeland Security → Sci Technology Acq Division
View Agency Profile
Office AddressWASHINGTON, DC, 20528, USA
Contacts
Jennifer K. Koons

Full Description

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The Department of Homeland Security Science and Technology Directorate (DHS S&T) requires professional scientific, technical and programmatic assistance services to support development of advanced passenger and baggage screening technologies and automated image analysis software for the Transportation Security Administration (TSA).  TSA projects passenger screening throughput will increase over the next decade from 3 million to 10 million passengers per day, which will require new and advanced passenger and baggage screening technologies to handle these projected loads while simultaneously improving passenger experience.


The overall intent of this technical effort is to provide artificial intelligence, machine learning, and data science expertise and experience for research, development, and assessment of technologies for improving the security, throughput, and passenger experience at airport checkpoints and similar environments.  The specific intent of this technical effort is to apply artificial intelligence, machine learning (AIML), and data science (DS) expertise and experience towards supporting, developing, and delivering various AIML and DS tools to improve checkpoint screening throughput and related equities. This includes conducting and providing independent evaluations, supporting testing, validation, and standards development, evaluating and analyzing AIML and DS tools, developing and evaluating automated image analysis software and algorithms, supporting development and interpretation of open architecture data and metadata standards, and supporting and creating algorithm training, validation, testing and assurance tools for advanced screening and related technologies.


The purposes of this RFI are:


  1. To gain an understanding of the capabilities of small businesses to support DHS S&T’s AI/ML/DS requirements.
  2. To gain an understanding of Industry’s capabilities to support DHS S&T’s AI/ML/DS requirements.
  3. Conduct market research for a potential task order under the GSA OASIS+ contract vehicle.

More opportunities from Department Of Homeland Security → Sci Technology Acq Division

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POSTED

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DEADLINE

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View Details
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Instructional Design and Classroom Training DeliveryThe contract entails the development and delivery of classroom instruction and training materials focused on systems engineering for personnel and contractors of the Department of Homeland Security. The work is structured under a subcontract arrangement and falls under the NAICS code 611430, which corresponds to professional and management development training. The instruction must be tailored to meet the specific technical and operational needs of DHS stakeholders, ensuring that training content is both comprehensive and practically applicable within federal systems engineering environments. The performance location is not specified, suggesting potential flexibility in where training may be conducted, possibly across DHS facilities or virtual platforms. All deliverables must align with the mission of the Sci Technology Acquisition Division, requiring subject matter expertise in systems engineering principles and pedagogical skills to effectively translate complex technical concepts into accessible, instructor-led formats. There is no set-aside designation indicated, meaning the opportunity is open to all eligible contractors, and the posting date of June 26, 2026, suggests this is a future solicitation with anticipated activity beginning after that date. The lack of a designated point of contact or physical address implies that further details may be obtained through the provided SAM.gov link, and the subcontract nature indicates the primary contractor will be working under a larger DHS acquisition framework.
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