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This Government Contract opportunity from Department Of Defense was posted on May 13, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Artificial Intelligence & Data Analytics Development

Closed
Federal

Contract Overview

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AI Contract Overview

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This contract focuses on the application of artificial intelligence and machine learning techniques to scientific and engineering datasets. The objective is to develop predictive models, algorithms, and data visualization tools that will aid research and development decision-making processes. The work will be conducted as a subcontract under the Department of Defense, specifically supporting the Air Force Research Laboratory at Wright Patterson Air Force Base, Ohio. The contract falls under NAICS code 541511, which pertains to custom computer programming services. Responses to this opportunity must be submitted by June 15, 2026. Although no information on set-aside status or organization type is specified, the project clearly aims to enhance R&D capabilities through advanced data analytics. The contract offers a critical role in driving innovation by leveraging AI/ML to extract actionable insights from complex datasets, ultimately supporting defense technology advancements.

General Info

Develop AI/ML models for scientific data to support Air Force Research Laboratory R&D.

Agency

Department Of Defense → FA8652 Afrl Hq Afrl/pk

NAICS

541511 - Custom Computer Programming Services View NAICS

Place of Performance

Wright Patterson AFB, OH, 45433, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → FA8652 Afrl Hq Afrl/pk
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → FA8652 Afrl Hq Afrl/pk
Office AddressN/A
ContactsNo contact information available

Full Description

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Apply AI/ML techniques to scientific and engineering datasets for predictive modeling, algorithm development, and data visualization to support R&D decisions.