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Research Institution / University Partner for Agentic-AI Feasibility

Active
SBIR / STTR

Contract Overview

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

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This subcontract opportunity is for a non-profit research institution or university to partner with prime contractors on U.S. Army STTR projects. The selected partner will focus on core academic and theoretical research, specifically developing the framework for Schema-Driven Decision Management and conducting research and development to assess the technical feasibility of Agentic-AI concepts. Work will involve the use of AI modeling software and high-performance computing environments to produce technical research reports and feasibility analyses. The project falls under a Total Small Business Set-Aside for SBIR/STTR mandates, requiring the partner to have fewer than 500 employees. Interested parties must respond by October 7, 2026. The effort is categorized under NAICS code 541715 and is managed by the U.S. Department of Defense for the U.S. Army.

General Info

Non-profit research partner for U.S. Army STTR Agentic-AI and decision management research.

Agency

U.S. Department of Defense → U.S. 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 ARM26TX06-NV003.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Agentic-AI, Schema-Driven Decision Management for Auditable Studies and Acquisition Decisions

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Timeline

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Organization & Contact Information

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AgencyU.S. Department of Defense → U.S. Army
ContactsNo contacts available
OfficeN/A
Organization / Agency
U.S. Department of Defense → U.S. Army
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Office AddressN/A
ContactsNo contact information available

Full Description

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Performs core academic and theoretical research for prime contractors on U.S. Army STTR projects. Develops the theoretical framework for Schema-Driven Decision Management and conducts R&D to determine technical feasibility of Agentic-AI concepts. Utilizes high-performance computing (HPC) environments and AI modeling software. Must be a non-profit research institution. Delivers technical research reports and feasibility analysis.

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Miguel
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Keith Deutsch
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