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Data Analytics & Signal Processing for Detection Systems

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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The Defense Threat Reduction Agency within the Department of Defense is seeking a subcontractor for the Data Analytics and Signal Processing for Detection Systems project. This initiative focuses on the development of advanced algorithms designed to process sensor data, minimize false positives, and enhance overall detection accuracy through the application of machine learning and spectral data analysis techniques. This opportunity is designated as a Total Small Business Set-Aside under the SBIR/STTR mandate for companies with fewer than 500 employees, falling under NAICS code 511210. The solicitation was posted on August 5, 2026, with a response deadline of August 26, 2026.

General Info

DTRA seeks small business subcontractors for data analytics and signal processing detection systems.

Agency

Department of Defense → Defense Threat Reduction AgencyView Agency

NAICS

511210 - Software PublishersView NAICS

Place of Performance

Not specified

Set-Aside

SBA

Documents

This scope was carved out of DTR26TZ05-NP001.

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

View the prime solicitation

Novel Technologies for CWMD and Related Threats

AI Contract Breakdown

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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 → Defense Threat Reduction Agency

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department of Defense → Defense Threat Reduction Agency

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Development of algorithms to process sensor data, reduce false positives, and improve detection accuracy using machine learning and spectral data analysis techniques.

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