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RFI for Cloud-Hosted Desktop as a Service Solution

Overview


Data Analytics, AI & Cloud Hosting
Madison, Wisconsin, United StatesPosted: June 18th, 2026Deadline: July 8th, 2026

Fit Score


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SUMMARY


Seeking information from vendors on providing a secure and scalable cloud-hosted Desktop as a Service (DaaS) solution for academic and clinical users in Wisconsin.

KEY REQUIREMENTS


TIMELINE


RFI Issued: June 17th, 2026

Questions Due: June 24th, 2026

Information Due: July 8th, 2026

QUESTION DEADLINE


June 24th, 2026

CONTACTS


Primary procurement contact — name, title, email, and phone

Additional decision-makers and their departments

Issuing Agency


University Of Wisconsin–Madison

Organization overview and procurement intelligence available on paid plans.
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DESCRIPTION


This Request for Information (RFI) seeks vendors to provide a cloud-hosted Desktop as a Service (DaaS) solution. The solution must deliver secure, scalable, and resilient desktop and application environments to a broad user base, including faculty, staff, researchers, clinicians, and students.

Vendors should demonstrate capabilities in supporting administrative hierarchy and federated management within their DaaS solution. The objective is to ensure robust virtual desktop delivery that can meet the varying needs of an academic and clinical environment, with a focus on security, reliability, and scalability.

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Frequently asked questions

When is the submission deadline?
Submissions are due July 8, 2026. Questions must be submitted by June 24, 2026.
Who issued this RFP?
It was issued by University Of Wisconsin–Madison. The work is located in Madison, Wisconsin, United States.
Who is a good fit for this opportunity?
  • Providers with documented expertise in DaaS and cloud-hosted desktop platforms
  • Experience serving higher education or healthcare organizations
  • Ability to support large user populations with robust security and management features
  • Demonstrated capability in federated administration and multi-role hierarchies

Analysis generated by Settle AI from the source RFP.

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