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Navy Machine-Assisted Form Generation

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Federal

Contract Overview

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

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The Office of Naval Research is seeking a contractor for the Navy Machine-Assisted Form Generation project to develop a human-machine interface that utilizes state-of-the-art large language models. This system is designed to enable curation-on-creation, assisting users in the generation of 2-Kilo forms without replacing human oversight. The current contract, held by STRAD CORP with a value of 400,000 dollars, is expected to end on December 12, 2026. This opportunity is classified as a high-confidence full recompete and will be conducted under full and open competition. The pricing structure is designated as cost plus fixed fee under NAICS code 541715. Interested parties can coordinate through the Department of Defense point of contact, Matthew Murray, based in Arlington, Virginia.

General Info

ONR seeks contractor for LLM-based form generation system; full recompete, cost plus fee.

Agency

Department Of Defense → Office Of Naval Research

NAICS

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

Place of Performance

VA, 275147125, USA

Set-Aside

NONE

Documents

0

No documents available

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Timeline

PostedJun 12

pre-forecast

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Organization & Contact Information

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AgencyDepartment Of Defense → Office Of Naval Research

Contacts1 person available

OfficeARLINGTON, VA, 22203-1995, USA

Organization / AgencyDepartment Of Defense → Office Of Naval Research

Office AddressARLINGTON, VA, 22203-1995, USA

Contacts

Matthew Murray

contact@example.gov

Full Description

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Predicted recompete opportunity based on federal award data.
Current Contract: N0001424C2207 Incumbent: STRAD CORP Contract Value: $400,000 Potential End Date: 2026-12-12T00:00:00.000Z Competition: FULL AND OPEN COMPETITION Pricing: COST PLUS FIXED FEE Classification: full-recompete (Confidence: high - 90/100)
The Contractor will build on state-of-the-art large language models (LLMs) to enable "curation-on-creation" that aids-but doesn't replace-users in generating 2-Kilo forms through a human-machine interface (HMI).

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