This Subcontract opportunity from Department Of Transportation was posted on April 1, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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AI-Enhanced Search and Discovery Engine Development

Closed

Federal

Submission Closed04/30/2026, 03:00:00 PM EDT

Contract Overview

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

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NAICS: 541715

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W6QK Acc- Dta

POSTED

1 day ago

DEADLINE

in about 2 years

AI Contract Overview

The AI-Enhanced Search and Discovery Engine Development is a subcontract opportunity issued by the Department of Transportation to improve access to transportation research. The project focuses on the development and integration of advanced AI-powered features, specifically semantic search, auto-tagging, and recommendation engines. This opportunity is designated as a Total Small Business Set-Aside under NAICS code 541715. The work is to be performed in Washington, DC, with a response deadline set for April 30, 2026.

General Info

Agency

Department Of Transportation → 693JK4 Ost

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Washington, DC, 20590, USA

Set-Aside

SBA

Documents

This scope was carved out of 693JK426R700001.

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

View the prime solicitation

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AI Contract Breakdown

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Timeline

PhaseClosed

PostedApr 1

subcontract

Response DeadlineApr 30

Deadline has passed

Submission Closed

04/30/2026, 03:00:00 PM EDT

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Organization & Contact Information

AgencyDepartment Of Transportation → 693JK4 Ost

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of Transportation → 693JK4 Ost

Office AddressN/A

ContactsNo contact information available

Full Description

Development and integration of AI-powered features such as semantic search, auto-tagging, and recommendation engines to improve access to transportation research.