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BROAD AGENCY ANNOUNCEMENT: A Study to Determine Natural Language Processing (NLP) Capabilities with the NCCF Open Knowledge Mesh (KM)

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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 Department of Commerce NOAA is seeking a study to determine Natural Language Processing capabilities with the NCCF Open Knowledge Mesh, focusing on advanced access methods for EO digital twins. This effort is identified as a high-confidence full-recompete opportunity based on the current contract held by Element 84, Inc, which has a value of 1,195,618 dollars and a potential end date of September 30, 2026. The procurement is expected to be conducted under full and open competition with firm fixed price pricing. The work will be performed in Silver Spring, Maryland, under NAICS code 541715. Points of contact for this pre-forecast opportunity include Gabriela Bravo and Mark Sullivan.

General Info

NOAA seeks NLP study for NCCF Open Knowledge Mesh via full and open competition.

Agency

Department Of Commerce Noaa

NAICS

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

Place of Performance

Silver Spring, MD, 20910, USA

Set-Aside

NONE

Documents

0

No documents available

Documents will appear here when they are available.

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Timeline

PostedMar 30

pre-forecast

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Organization & Contact Information

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AgencyDepartment Of Commerce Noaa

Contacts2 people available

OfficeSILVER SPRING, MD, 20910, USA

Organization / AgencyDepartment Of Commerce Noaa

Office AddressSILVER SPRING, MD, 20910, USA

Contacts

Gabriela Bravo

contact@example.gov

+1 (555) 000-0000

Mark Sullivan

contact@example.gov

+1 (555) 000-0000

Full Description

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Predicted recompete opportunity based on federal award data.
Current Contract: 1332KP24C0024 Incumbent: ELEMENT 84, INC Contract Value: $1,195,618 Potential End Date: 2026-09-30T00:00:00.000Z Competition: FULL AND OPEN COMPETITION Pricing: FIRM FIXED PRICE Classification: full-recompete (Confidence: high - 90/100)
KNOWLEDGE MESH AND NATURAL LANGUAGE PROCESSING: ADVANCED ACCESS METHODS FOR EO DIGITAL TWINS

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