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This Subcontract opportunity from Department Of Defense was posted on August 20, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Enterprise AI/ML Infrastructure for Classification Automation

Closed
Federal

Contract Overview

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The Enterprise AI/ML Infrastructure for Classification Automation is a subcontract opportunity issued by the Department of Defense under the agency FA2057 Aflcmc Hnjk. The project focuses on the design and maintenance of a secure AI/ML infrastructure specifically engineered to support automated classification and declassification processes. Key technical requirements include the implementation of model governance, data labeling protocols, and comprehensive auditability to ensure security and compliance. This opportunity is categorized under NAICS code 541690. Interested parties must note that the solicitation was posted on August 20, 2026, with a response deadline of September 4, 2026. The contract aims to modernize how the agency handles sensitive data through the deployment of scalable and secure machine learning frameworks.

General Info

DoD subcontract for secure AI/ML infrastructure supporting automated classification and declassification processes.

NAICS

541690 - Other Scientific and Technical Consulting Services

Place of Performance

MA

Set-Aside

NONE

Documents

This scope was carved out of ACME-RFI-001.

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

View the prime solicitation

Automated Classification Management Environment (ACME) RFI

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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 → FA2057 Aflcmc Hnjk
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Design and maintain the secure AI/ML infrastructure supporting automated classification and declassification, including model governance, data labeling, and auditability.

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