This Subcontract opportunity from Montana was posted on March 27, 2024. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Automated Accessibility Scanning & Remediation Engine

Closed

State & Local

Submission Closed04/24/2024, 06:00:00 PM MDT

Contract Overview

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

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NAICS: 541511

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SLED

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Secure Connection Portal

Solicitation # TWC001904

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Gateshead Borough Council

POSTED

about 14 hours ago

DEADLINE

in about 1 month

AI Contract Overview

The Montana University System is seeking a subcontractor to develop and maintain an AI-driven engine designed to enhance digital accessibility within course content. The primary objective of this project is to implement a system capable of scanning materials for accessibility gaps and providing real-time, automated remediation suggestions that ensure full alignment with WCAG 2.1 AA standards. This subcontract opportunity, categorized under NAICS code 541511, was posted on March 27, 2024, with a response deadline of April 25, 2024. Interested parties can find further details and submission guidelines through the State of Montana's procurement portal.

General Info

Agency

Montana University System

NAICS

541511 - Custom Computer Programming Services

Place of Performance

MT, USA

Set-Aside

NONE

Documents

This scope was carved out of EDU-RFP-2024-04.

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

View the prime solicitation

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Timeline

PhaseClosed

PostedMar 27

subcontract

Response DeadlineApr 24

Deadline has passed

Submission Closed

04/24/2024, 06:00:00 PM MDT

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Organization & Contact Information

AgencyMontana University System

ContactsNo contacts available

OfficeN/A

Organization / AgencyMontana University System

Office AddressN/A

ContactsNo contact information available

Full Description

Develop and maintain an AI-driven engine that scans course content for accessibility issues and provides real-time, automated remediation suggestions aligned with WCAG 2.1 AA standards.