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RF Data Collection, Labeling, and Simulation Environment Development

Active

SBIR / STTR

Response Deadline08/26/2026, 04:00:00 AM UTC

Contract Overview

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

AI Contract Overview

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This subcontract opportunity with the Office of the Secretary of Defense focuses on the generation of high-fidelity labeled RF datasets and the creation of simulation environments designed to replicate contested electromagnetic conditions for model training and validation. The project is categorized under NAICS code 541380 and is specifically designated as a Total Small Business Set-Aside, adhering to SBIR/STTR mandates for companies with fewer than 500 employees. The solicitation was posted on August 5, 2026, with a response deadline of August 26, 2026. Interested parties can find further details through the provided SBIR portal link.

General Info

OSD small business subcontract for RF datasets and contested electromagnetic simulation environments.

Agency

Department of Defense → Office of the Secretary of DefenseView Agency

NAICS

541380 - Testing Laboratories and ServicesView NAICS

Place of Performance

Not specified

Set-Aside

SBA

Documents

This scope was carved out of OSW26BZ05-DV022.

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

View the prime solicitation

Signal Classification and Anomaly Detection in Contested Spectral Environments

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Timeline

PostedAug 5

subcontract

Response DeadlineAug 26

Submission deadline

Response Deadline

08/26/2026, 04:00:00 AM UTCin 7 days

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Organization & Contact Information

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AgencyDepartment of Defense → Office of the Secretary of Defense

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department of Defense → Office of the Secretary of Defense

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Office AddressN/A

ContactsNo contact information available

Full Description

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Generate high-fidelity labeled RF datasets and develop simulation environments that replicate contested electromagnetic conditions for model training and validation.

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