This Solicitation opportunity from North Carolina was posted on September 20, 2024. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Cloud-Based Automated Transcript Data Extraction and Integration Solution

Closed

65-RFP092024AMGState & Local

Submission Closed10/11/2024, 12:00:00 AM UTC

Contract Overview

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

Active Opportunities Like This One

NAICS: 561330

International

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JCN 26002015 CLT ATCTThe Department of Transportation is forecasting a requirement to establish one LC position and one GC position to support the CLT ATCT Staff Study. This initiative falls under NAICS code 561330 and is managed by the Federal Aviation Administration. The procurement is listed under JCN 26002015 with a posted date of September 30, 2026. Interested parties may coordinate with Jaron Mengel or Small Business Specialist Lelanie Rivera for further information regarding this opportunity.

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JCN 26002015 CLT ATCTThe Department of Transportation is forecasting a requirement to establish one LC position and one GC position to support the CLT ATCT Staff Study. This initiative falls under NAICS code 561330 and is intended to provide specialized staffing support for operational studies at the Charlotte Air Traffic Control Tower. The procurement is currently listed as a forecast with a posted date of September 30, 2026. Interested parties may coordinate with Jaron Mengel or Small Business Specialist Lelanie Rivera for further information regarding this requirement.

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Staffing & Organizational Capacity SupportThis subcontract opportunity, titled Staffing and Organizational Capacity Support, is issued by the Health Resources and Services Administration under the Department of Health and Human Services. The primary objective of the contract is to secure professional staffing solutions and human resources support to fill critical project roles, specifically targeting project managers, data analysts, and family engagement coordinators. The procurement falls under NAICS code 561330 and was posted on March 13, 2026. This engagement is designed to enhance organizational capacity by providing specialized personnel necessary for the successful execution of agency projects.

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Staffing Coordination and Onboarding SupportThis subcontract, titled Staffing Coordination and Onboarding Support, is issued by the Department of Veterans Affairs through Pcac. The primary objective of the agreement is to provide comprehensive administrative and logistical support to facilitate the hiring, credentialing, and onboarding of both clinical and non-clinical personnel for new Community Based Outpatient Clinics. The opportunity is designated as a Service-Disabled Veteran-Owned Small Business Set Aside under NAICS code 561330. Posted on February 17, 2026, the contract focuses on streamlining the staffing pipeline to ensure that new healthcare facilities are properly equipped with qualified staff to meet operational requirements.

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Personnel Staffing and Travel CoordinationThe Personnel Staffing and Travel Coordination subcontract is issued by the Department of Veterans Affairs through Pcac to support staffing requirements during a clinic transition. The primary scope of work involves the placement of temporary personnel and the management of travel logistics for staff members engaged in the setup or relocation process. This opportunity is designated as a Service-Disabled Veteran-Owned Small Business set-aside under NAICS code 561330. The contract was posted on January 30, 2026, to ensure necessary operational support is in place to maintain clinic functionality during the transition period.

Pcac (36C776)

POSTED

9 months ago

DEADLINE

N/A

AI Contract Overview

The University of North Carolina at Chapel Hill’s Division of Enrollment is seeking proposals for a cloud-based software solution designed to automate the extraction of specific transcript data and facilitate its seamless integration into Technolutions Slate and Oracle PeopleSoft Campus Solutions. The solution must leverage advanced technologies such as machine learning and natural language processing to accurately interpret transcript content, perform content analysis, and enable sophisticated custom calculations. The contract is valued between $500,000 and $2,000,000 and aims to enhance data processing efficiency and accuracy within the university’s enrollment systems. Interested vendors are encouraged to submit proposals by October 11, 2024, with a primary point of contact being A. Grieger via email. The project is part of North Carolina’s State and Local Government Enterprise Procurement (SLED) and emphasizes innovative data extraction and integration capabilities to streamline enrollment data workflows. The solicitation details and further information can be accessed through the provided online link.

General Info

Agency

North Carolina → UNC at Chapel Hill

NAICS

561330 - Professional Employer Organizations

Place of Performance

NC, USA

Set-Aside

NONE

Documents

RFP092024AMG Automated Transcript Processing

rfp

High

AI Contract Breakdown

Uniform Contract Format

Timeline

PhaseClosed

PostedSep 20

Solicitation

Response DeadlineOct 11

Deadline has passed

Submission Closed

10/11/2024, 12:00:00 AM UTC

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Organization & Contact Information

AgencyNorth Carolina → UNC at Chapel Hill

Contacts1 person available

OfficeN/A

Organization / AgencyNorth Carolina → UNC at Chapel Hill

Office AddressN/A

Contacts

A. GriegerPOC

contact@example.gov

Full Description

The University of North Carolina at Chapel Hill’s Division of Enrollment is seeking proposals for a cloud-based software solution to extract specific transcript data and automatically import it into Technolutions Slate and Oracle PeopleSoft Campus Solutions. The proposed solution should include machine learning and natural language processing technologies, which will be applied to extract meaning, analyze content, and perform more advanced custom calculations.