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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

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

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NAICS: 518210
New
SLED
CORES Responder Management System (RMS), EMResource Per Capita and EMResource Dialysis
Solicitation # HHS0017688
The Texas Health and Human Services Commission (HHSC) is issuing an Invitation for Bids (IFB No. HHS0017688) to establish contracts for the renewal of the CORES Responder Management System (RMS), EMResource Per Capita, and EMResource Dialysis. These web-based tools, developed by Juvare, are used by government agencies and healthcare providers to monitor and notify changes in resource status, such as diversions. This is a proprietary purchase under Texas Government Code 2155.067, meaning only bids that conform exactly to the specified brand, make, and model will be considered. The contract is expected to begin upon the date of award and expire on August 31, 2027, with a historical annual spend guideline of approximately 734,822.87 dollars. The award will be based on the best value to the State of Texas, evaluating the bidder's ability to meet specifications, performance delivery, and price. Key requirements include a four-hour response time for service calls and the provision of services during standard business hours, Monday through Friday. Bidders must submit their responses by September 24, 2026, via the HHS Online Bid Room, email, or physical USB delivery. Selected contractors must adhere to strict personnel standards, including comprehensive background checks and E-Verify employment eligibility, and maintain significant insurance coverages, including professional liability and commercial general liability of at least 1 million dollars.
Department of State Health Services

POSTED

1 day ago

DEADLINE

in 13 days

AI 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

This scope was carved out of 2032L226N00008.

The full solicitation package (3 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

RFI - Fraud Detection and Payment Integrity Tools

AI Contract Breakdown

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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.

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