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Massive Dataset Management and Curation

Active
Federal

Contract Overview

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

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The contract involves the development of advanced tools and processes aimed at the ingestion, cleaning, labeling, and governance of large-scale datasets critical for AI and machine learning training and testing. Focused on handling massive datasets, the project seeks to ensure data quality and reliability through effective curation methods, enabling improved AI model performance and evaluation. This work supports the Department of Defense and is classified under NAICS code 518210, related to data processing, hosting, and related services. The subcontract is titled "Massive Dataset Management and Curation" and was posted on June 1, 2026. The place of performance is Fairfax, Virginia, with a ZIP code of 22031. Although specific details such as solicitation number, set-aside type, and point of contact are not provided, the contract underscores the importance of robust data management practices within defense-related AI initiatives, ensuring adherence to governance standards while handling vast volumes of data.

General Info

Develop advanced tools for ingestion, cleaning, labeling, and governance of massive defense AI datasets.

Agency

Department Of Defense → W6QK Acc-Apg Adelphi

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesView NAICS

Place of Performance

Fairfax, VA, 22031, USA

Set-Aside

NONE

Documents

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No documents available

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Timeline

Posted

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Organization & Contact Information

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AgencyDepartment Of Defense → W6QK Acc-Apg Adelphi
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → W6QK Acc-Apg Adelphi
Office AddressN/A
ContactsNo contact information available

Full Description

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Development of tools and processes for ingestion, cleaning, labeling, and governance of large-scale datasets used in AI/ML training and testing.

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