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This Government Contract opportunity from Department Of The Interior was posted on June 1, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

AI/ML Fraud Risk Scoring Engine Development

Closed
Federal

Contract Overview

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This contract involves the development and deployment of advanced machine learning models designed to detect, evaluate, and explain risks related to fraud and improper payments. Utilizing various data types including transactional, identity, behavioral, and network data, the project aims to create a comprehensive fraud risk scoring engine to enhance fraud prevention efforts. The contract is a subcontract under the NAICS code 518210, which pertains to data processing, hosting, and related services. The solicitation is issued by the Department of the Interior and is associated with the IRS Division of Information Technology. The work will be primarily performed in Washington. The contract was posted on June 1, 2026, with a response deadline set for June 15, 2026, at 2:00 PM. This initiative supports the agency’s objective of leveraging artificial intelligence and machine learning technologies to improve the detection and explanation of fraudulent activities, thereby safeguarding government resources and ensuring proper payment processes.

General Info

Development and deployment of AI fraud detection models using diverse data for IRS payment integrity.

Agency

Department Of The Interior → Irs/do/it

NAICS

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

Place of Performance

Washington, DC, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of The Interior → Irs/do/it
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of The Interior → Irs/do/it
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop and deploy machine learning models to identify, score, and explain fraud and improper payment risk using transactional, identity, behavioral, and network data.