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AI/ML Algorithm Development for Real-Time Object Classification

Active
SBIR / STTR

Contract Overview

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

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The U.S. Navy is seeking a subcontractor to develop and train machine learning models designed for the real-time classification of detected objects. This project utilizes multi-sensor data to improve foreign object debris mitigation on airfields, ensuring safer operational environments. This opportunity is a total small business set-aside under the SBIR/STTR mandate, restricted to firms with fewer than 500 employees. Interested parties must submit their responses by September 9, 2026, under NAICS code 541721.

General Info

US Navy seeks small business to develop ML models for airfield debris classification.

Agency

U.S. Department of Defense → U.S. NavyView Agency

NAICS

541721

Place of Performance

Not specified

Set-Aside

SBA

Documents

This scope was carved out of DON26BZ05-DV085.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

DIRECT TO PHASE II: Persistent Non-Destructive Inspection System for Airfield Readiness and Foreign Object Debris Mitigation

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Timeline

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subcontract

Response Deadline

Submission deadline

Response Deadline

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Organization & Contact Information

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AgencyU.S. Department of Defense → U.S. Navy
ContactsNo contacts available
OfficeN/A
Organization / Agency
U.S. Department of Defense → U.S. Navy
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Office AddressN/A
ContactsNo contact information available

Full Description

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Develop and train machine learning models to classify detected objects in real-time using multi-sensor data for FOD mitigation on airfields.

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