This Government Contract opportunity from Department Of Homeland Security was posted on May 18, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Synthetic Data Generation for Algorithm Training

Closed

Federal

Submission Closed06/17/2026, 06:00:00 PM UTC

Contract Overview

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

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NAICS: 541715

New

Federal

Advanced Capability Research & Development

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W6QK Siad Contr Office

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Synthetic Training Environment (STE) Virtual Software (VSW)

Solicitation # STE-VSW-26-0006

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DEADLINE

Missile Defense Agency - Advanced Capability Concepts

Solicitation # HQ0860-25-S-C001

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POSTED

DEADLINE

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National Institutes Of Health

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National Institutes Of Health

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DEADLINE

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National Institutes Of Health

POSTED

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Solicitation # NOAA-OAR-CPO-2026-33326

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Department Of Commerce Noaa

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AI Contract Overview

The contract involves generating synthetically labeled screening data through the use of simulation tools with the goal of augmenting existing real-world datasets, which will be utilized for the training and testing of algorithms. This effort aims to enhance the quality and robustness of algorithm development by providing additional, well-structured data that can improve machine learning performance in screening applications. The work is positioned as a subcontract under the North American Industry Classification System (NAICS) code 541715, which pertains to research and development services in physical, engineering, and life sciences. Issued by the Department of Homeland Security’s Sci Technology Acquisition Division, the contract is centered around performance in Washington. The solicitation was posted on May 18, 2026, with a response deadline of June 17, 2026, at 6:00 PM. While specific details such as the subcontract type set-aside and point of contact were not provided, the focus on synthetic data generation suggests a specialized requirement geared toward enhancing algorithmic capabilities within homeland security applications.