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AI-Driven Batch Identity Resolution Tool Support

Active
Federal

Contract Overview

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

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The AI-Driven Batch Identity Resolution Tool Support subcontract is issued by the Department of Veterans Affairs through Rpo Central. This engagement focuses on providing technical support and refinement for AI-based tools designed for the batch processing of duplicate records. Key responsibilities include monitoring system performance, validating AI-generated suggestions, and utilizing feedback loops to enhance the overall accuracy of the algorithms. This opportunity is designated as a Service-Disabled Veteran-Owned Small Business set-aside under NAICS code 541715. The contract was posted on August 13, 2026, and is intended to ensure the efficiency and precision of identity resolution processes within the agency.

General Info

VA subcontract for AI batch identity resolution support, SDVOSB set-aside, NAICS 541715.

Agency

Department Of Veterans Affairs → Rpo Central (36C24C)View Agency

NAICS

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

Place of Performance

TN

Set-Aside

SDVOSBC

Documents

This scope was carved out of None.

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

View the prime solicitation

R408--Healthcare Identity Management (HCIdM) Support (FY24-HIG-157) (VA-24-00062862)

AI Contract Breakdown

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Timeline

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subcontract

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Organization & Contact Information

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AgencyDepartment Of Veterans Affairs → Rpo Central (36C24C)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Veterans Affairs → Rpo Central (36C24C)
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Office AddressN/A
ContactsNo contact information available

Full Description

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Provide technical support and refinement for AI-based tools used in batch processing of duplicate records, including monitoring performance, validating AI suggestions, and improving algorithm accuracy through feedback loops.

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