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AI/OCR Services: Automated Transcript Reading & Data Extraction

Active

State & Local

Response Deadline10/14/2026, 03:00:00 PM UTC

Contract Overview

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

AI Contract Overview

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This subcontract for the University of North Carolina System Office focuses on the supply and implementation of automated technology designed to read student transcripts for prime contractors. The project utilizes Optical Character Recognition and Natural Language Processing to extract earned credentials and course codes from various formats, delivering a structured data pipeline that integrates directly into the Student Information System. The services are categorized under NAICS code 518210 and prioritize strict compliance with FERPA student privacy laws. Interested parties must respond by October 14, 2026, following the posting date of September 15, 2026.

General Info

UNC System Office subcontract for automated transcript reading technology; deadline October 14, 2026.

Agency

North Carolina → Unc - System Office

NAICS

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

Place of Performance

NC, USA

Set-Aside

NONE

Documents

This scope was carved out of 68-SOCTT0926.

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

View the prime solicitation

Credit Transfer Technology

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Timeline

PostedSep 15

subcontract

Response DeadlineOct 14

Submission deadline

Response Deadline

10/14/2026, 03:00:00 PM UTCin 8 days

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Organization & Contact Information

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AgencyNorth Carolina → Unc - System Office

ContactsNo contacts available

OfficeN/A

Organization / AgencyNorth Carolina → Unc - System Office

Office AddressN/A

ContactsNo contact information available

Full Description

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Supplies and implements automated technology to read student transcripts for prime contractors on University of North Carolina (UNC) projects. Employs Optical Character Recognition (OCR) and Natural Language Processing (NLP) to identify earned credentials and course codes from diverse formats. Ensures compliance with FERPA student privacy laws. Delivers an automated transcript ingestion pipeline that feeds structured data into the SIS.

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