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Intelligent Systems & Predictive Analytics Developer

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 Intelligent Systems and Predictive Analytics Developer subcontract supports U.S. Navy R&D projects by providing software engineering and algorithmic development for intelligent tools. The primary objective is to create machine learning models and predictive analytics focused on aircrew readiness, requiring specialized expertise in Trusted AI, Autonomy, and Advanced Computing. Deliverables for this effort include software prototypes, trained ML models, and comprehensive API documentation. This opportunity is a Total Small Business Set-Aside under NAICS code 541511, specifically targeting firms with fewer than 500 employees in accordance with SBIR/STTR mandates. The solicitation was posted on August 26, 2026, with a response deadline of September 9, 2026.

General Info

Small business subcontract for Navy R&D focusing on ML models and aircrew readiness.

Agency

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

NAICS

541511 - Custom Computer Programming ServicesView NAICS

Place of Performance

Not specified

Set-Aside

SBA

Documents

This scope was carved out of DON26BZ05-NV068.

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

View the prime solicitation

Intelligent Tools for Naval Aircrew Performance and Readiness

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Timeline

Posted

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
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Supplies software engineering and algorithmic development for intelligent tools for prime contractors on U.S. Navy R&D projects. Develops machine learning models and predictive analytics for aircrew readiness. Requires proficiency in Trusted AI, Autonomy, and Advanced Computing. Delivers software prototypes, trained ML models, and API documentation.

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Miguel
Hillary
Keith Deutsch
Christine

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