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This Government Contract opportunity from Department Of Defense was posted on August 5, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

AI/ML Test Framework Development

Closed
Federal

Contract Overview

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The Department of Defense, specifically W6QK Acc-Apg, is seeking a subcontractor for the AI/ML Test Framework Development project. The primary objective is to create a commercially available, multi-tiered software validation suite designed for the continuous test, evaluation, and assurance of adaptive AI and autonomous systems. This suite must be capable of supporting real-time environments and the generation of synthetic scenarios to ensure system reliability and performance. This subcontract opportunity is categorized under NAICS code 541715 and will be performed at Aberdeen Proving Ground. Interested parties must submit their responses by August 19, 2026, following the posting date of August 5, 2026.

General Info

DoD seeks subcontractor for AI/ML software validation suite development at Aberdeen Proving Ground.

NAICS

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

Place of Performance

Aberdeen Proving Ground, MD, USA

Set-Aside

NONE

Documents

This scope was carved out of ATEC_RIW26_003.

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

View the prime solicitation

ATEC HQ 003 - AI Assurance & Autonomous System Validation

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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 → W6QK Acc-Apg
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop a commercially available, multi-tiered software validation suite for continuous test, evaluation, and assurance (TE&A) of adaptive AI and autonomous systems, supporting real-time environments and synthetic scenario generation.

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