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This Government Contract opportunity from Department Of Defense was posted on May 14, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Artificial Intelligence Machine Learning Integration for Munitions

Closed
Federal

Contract Overview

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This subcontract opportunity focuses on the development of advanced artificial intelligence and machine learning algorithms specifically designed for smart munitions. The key areas of development include autonomous targeting, in-flight re-targeting, threat avoidance, and sensor fusion capabilities. These technologies aim to enhance the precision, adaptability, and survivability of munitions by enabling real-time decision-making and environment sensing during flight. The contract is issued by the Department of Defense through AFRL (Air Force Research Laboratory) and falls under the NAICS code 541512, indicating a focus on computer systems design services. The solicitation was posted on May 14, 2026, with a response deadline set for May 29, 2026. Details such as the place of performance and specific points of contact are not provided, reflecting it as a subcontract opportunity geared towards specialized contractors with expertise in AI/ML integration for defense applications.

General Info

Development of AI/ML algorithms for smart munitions targeting, threat avoidance, and sensor fusion.

Agency

Department Of Defense → FA8651 Afrl Rwk

NAICS

541512 - Computer Systems Design Services View NAICS

Place of Performance

FL, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → FA8651 Afrl Rwk
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → FA8651 Afrl Rwk
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop AI/ML algorithms for autonomous targeting, in-flight re-targeting, threat avoidance, and sensor fusion in smart munitions.