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This Government Contract opportunity from North Carolina was posted on June 17, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Predictive Analytics Engine Development & Risk Modeling

Closed
State & Local

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 12 days

AI Contract Overview

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A subcontract is sought to develop a predictive analytics engine capable of generating individualized risk scores and propensity models focused on student retention, course success, and academic persistence. The solution must integrate historical and real-time data sources to deliver actionable insights that support institutional decision-making and student support initiatives. The system should be designed to identify at-risk students early, forecast outcomes with precision, and adapt dynamically as new data becomes available. The contract is issued under NAICS code 518210, indicating it pertains to data processing, hosting, and related services, and is associated with the University of North Carolina at Wilmington. Responses are due by July 28, 2026, with the solicitation posted on June 17, 2026. The place of performance and point of contact details are unspecified, and the contract does not include a set-aside designation.

General Info

Develop predictive analytics engine for student retention and course success using real-time data by July 28, 2026.

Agency

North Carolina → Unc - WilmingtonView Agency

NAICS

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

Place of Performance

NC, USA

Set-Aside

NONE

Documents

This scope was carved out of 72-PALG26086.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

UNCW Student Success & Retention Solution

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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AgencyNorth Carolina → Unc - Wilmington
ContactsNo contacts available
OfficeN/A
Organization / Agency
North Carolina → Unc - Wilmington
View Agency Profile
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop a predictive analytics engine to generate individualized risk scores and propensity models for student retention, course success, and persistence using historical and real-time data.

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