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AI/ML Model Development for Autonomous Decision-Making

Active

SBIR / STTR

Response Deadline08/26/2026, 04:00:00 AM UTC

Contract Overview

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

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The United States Army is seeking a subcontractor for the AI/ML Model Development for Autonomous Decision-Making project. The scope of work involves the development and training of machine learning models designed for autonomous decision-making within contested environments, encompassing data preprocessing, model training, validation, and the integration of these models into prototypes. This opportunity is a Total Small Business Set-Aside under the SBIR/STTR mandate for companies with fewer than 500 employees, falling under NAICS code 541715. The solicitation was posted on August 5, 2026, with a response deadline of August 26, 2026.

General Info

US Army seeks small business subcontractors for AI/ML autonomous decision-making model development.

Agency

Department of Defense → United States ArmyView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

Not specified

Set-Aside

SBA

Documents

This scope was carved out of ARM26TX05-NP002.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

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Timeline

PostedAug 5

subcontract

Response DeadlineAug 26

Submission deadline

Response Deadline

08/26/2026, 04:00:00 AM UTCin about 6 hours

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Organization & Contact Information

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AgencyDepartment of Defense → United States Army

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department of Defense → United States Army

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Office AddressN/A

ContactsNo contact information available

Full Description

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Develop and train machine learning models for autonomous decision-making in contested environments, including data preprocessing, model training, validation, and integration into prototypes.

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