Active SLED Opportunity · TEXAS · TEXAS

    RFP 784-26-2682- Student Success and Mentoring Software

    Issued by Univ. Of Houston - Downtown - 784
    stateRFPTexasSol. 784-26-2682
    Open · 13d remaining
    DAYS TO CLOSE
    13
    due Jul 7, 2026
    PUBLISHED
    Jun 11, 2026
    Posting date
    JURISDICTION
    Texas
    state
    NAICS CODE
    541512
    AI-classified industry

    AI Summary

    The University of Houston-Downtown seeks a cloud-based mentoring and student success software platform to enhance student engagement, retention, and success through automated matching, communication, and data-driven program management.

    Opportunity details

    Solicitation No.
    784-26-2682
    Type / RFx
    RFP
    Status
    Addendum Posted
    Level
    state
    Published Date
    June 11, 2026
    Due Date
    July 7, 2026
    NAICS Code
    541512AI guide
    Jurisdiction
    Texas
    State
    Texas
    Agency
    Univ. Of Houston - Downtown - 784

    Description

    The University of Houston-Downtown (UHD) is soliciting proposals from qualified firms to provide a cloud-based mentoring and student success software platform that supports student engagement, belonging, persistence, retention, and overall student success initiatives.The University seeks a comprehensive solution capable of facilitating mentoring relationships through automated matching, communication, reporting, assessment, and program management tools. The platform should support scalable mentoring programs designed to foster meaningful connections among students and provide support for a variety of student success initiatives. The desired solution should assist the University in creating and managing mentoring programs that promote student engagement, enhance student experience, and support institutional goals related to persistence, retention, and completion. The platform should utilize data-driven methodologies to connect participants based on shared interests, goals, experiences, availability, academic interests, career aspirations, and other relevant characteristics. Additionally, the University seeks a solution that reduces administrative burden through automation while providing robust reporting, analytics, and assessment capabilities to support data-informed decision making and continuous program improvement.

    Key dates

    1. June 11, 2026Published
    2. July 7, 2026Responses Due

    AI classification tags

    Frequently asked questions

    SLED stands for State, Local, and Education. These are solicitations issued by state governments, counties, cities, school districts, utilities, and higher education institutions — as opposed to federal agencies.

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