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University of South Carolina·South Carolina

Career Acceleration Platform Solution

Closes 12/4/2025$500k – $2MRequest for Proposal
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Description

The University of South Carolina is seeking a comprehensive, scalable, and inclusive AI-powered Career Acceleration Platform to enhance student and alumni career readiness, streamline access to high-quality feedback, and provide actionable data to improve institutional career outcomes. The platform should be able to provide a range of services, including career counseling, job placement, and skills development. The university is looking for a solution that can be integrated with their existing systems and can provide a user-friendly interface for students, alumni, and staff. • The platform should be able to provide personalized career recommendations and job matching. • The platform should be able to provide real-time data and analytics on career outcomes. • The platform should be able to integrate with existing student information systems. • The platform should be able to provide a mobile-friendly interface for users. • The platform should be able to provide multilingual support.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Donald Stewart

[email protected]

(803) 777-5253

Key dates

Opened
11/5/2025
Pre-bid meeting
11/17/2025
Closes
12/4/2025

Last updated

Details

Type
Request for Proposal
Industry
Education
NAICS
611710
Solicitation №
GS-RFP-260099-01

Budget estimate

$500,000 – $2,000,000

Based on the scope of the project, which involves the development and implementation of a comprehensive Career Acceleration Platform, the estimated budget for this opportunity could be in the range of $500,000 to $2,000,000. This estimate takes into account the cost of software development, implementation, and maintenance, as well as the potential for ongoing support and services. The actual budget could be higher or lower, depending on the specific requirements of the university and the proposals submitted by vendors.

AI estimate from the solicitation

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