Critical Incident Mapping Solution (RFP #835654)

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Title:  

Critical Incident Mapping Solution (RFP #835654)

Agency:  

Michigan State University (MSU)

State:  

Michigan

NAICS Code:  

511210

Industry:  

Information Technology and Software Development

Solicitation Type:  

Request for Proposal

Solicitation ID:  

RFP#835654

Open Date:  

10/21/2025

Questions Due Date:  

10/29/2025

Close Date:  

11/10/2025

Projected Award Date:  

12/1/2025

Project Duration:  

3 years

Last Updated:  

Description:
The Michigan State University (MSU) is seeking a Critical Incident Mapping Solution to provide mapping services for the MSU Department of Police and Public Safety. The solution must meet specific functional and technical requirements, including compatibility with local, state, and federal public safety applications and technologies, and must not require additional software. The solution must also provide accurate and up-to-date maps, including site-specific information and labels, and must be able to utilize existing map data. The selected supplier will be expected to implement the solution and provide detailed training for end-users. • The solution must be compatible with Windows 11 operating system for use on police patrol car computers. • The solution must be able to use MSU GIS provided maps. • The solution must have high availability for public safety. • The solution must be able to utilize existing map data. • The supplier must provide ongoing maintenance and support for the software. • The supplier must offer timely updates and upgrades to ensure the software remains current and functional.
Attached Files:

Please visit the bid source via the “Link to Bid Source” button below for documentation.

Contact Information:

Amber Marr(RFP Contact)

amber.marr@msu.edu

(517) 355-0357

Budget Estimate (AI):

$500,000 – $2,000,000

Based on the requirements of the RFP, the estimated budget for this opportunity could be in the range of $500,000 to $2 million over the three-year contract period. This estimate is based on the assumption that the solution will require significant software development, implementation, and maintenance, as well as ongoing support and training for end-users. The actual budget could be higher or lower, depending on the specific requirements and complexity of the solution.

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