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AI/ML-Driven Anomaly Detection Engine Development

Active
Federal

Contract Overview

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The contract involves the development and implementation of an artificial intelligence and machine learning engine specifically designed to identify fraudulent, duplicate, or improper billing patterns within Department of Veterans Affairs claims. The system is expected to achieve a high level of accuracy, with a minimum threshold of 90% in detecting anomalies, thereby enhancing the integrity and efficiency of the claims processing system. This initiative is part of a subcontract with the Technology Acquisition Center Nj under the Department of Veterans Affairs, aiming to leverage advanced technology to improve oversight and reduce improper payments. Classified under the NAICS code 511210, which pertains to software publishers, the contract emphasizes the delivery of a sophisticated solution capable of handling complex data patterns related to VA billing. While details such as the solicitation number, set-aside status, or specific office addresses are not provided, the contract was publicly posted in mid-January 2026. The project supports government efforts to modernize services through innovative AI/ML tools to ensure fiscal responsibility and protect veteran benefits from exploitation.

General Info

Develop AI/ML system to detect 90%+ billing fraud in VA claims, improving oversight.

Agency

Department Of Veterans Affairs → Technology Acquisition Center Nj (36C10B)View Agency

NAICS

511210 - NAICS Code 511210View NAICS

Place of Performance

NJ

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

Posted

subcontract

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Organization & Contact Information

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AgencyDepartment Of Veterans Affairs → Technology Acquisition Center Nj (36C10B)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Veterans Affairs → Technology Acquisition Center Nj (36C10B)
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Office AddressN/A
ContactsNo contact information available

Full Description

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Develop and implement an AI/ML engine to detect fraudulent, duplicate, or improper billing patterns in VA claims with ≥90% accuracy.

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