GenAI Student Support Platform
Closed State & local contract opportunity Posted
- Solicitation number
- 02-25-26
- State
- Florida
- Responses due
Opportunity facts
- Jurisdiction
- NIGP codes
- UNSPSC codes
- 78100000 Mail and cargo transport
- 81112501 Computer software licensing service
- 92110000 Military services and national defense
- 81111514 Cloud support services
- 81111515 Cloud fusion service
- 70100000 Fisheries and aquaculture
- 70120000 Livestock services
- 70160000 Wildlife and flora
- 85150000 Food and nutrition services
- 93000000 Politics and Civic Affairs Services
Show all 24
- 81130000 Statistics
- 93100000 Political systems and institutions
- 93110000 Socio political conditions
- 93120000 International relations
- 81110000 Computer services
- 80111512 Information technology (IT) expert services
- 81112011 Database management software publishing
- 70140000 Crop production and management and protection
- 80100000 Management advisory services
- 81140000 Manufacturing technologies
- 43230000 Software
- 94000000 Organizations and Clubs
- 81112012 ANS and ATM software maintenance/development services
- 80161510 Serious accident prevention and management services
- Point of contact
-
- Karen Reynolds reynolds.karen@spcollege.edu (727) 341-3370
Opportunity details come from bidnetdirect.com. Updated .
About this opportunity
St. Petersburg College (SPC) in Pinellas County, Florida, has issued Request for Information (RFI) SPC#02-25-26 seeking generative AI platforms designed to support comprehensive student services. The RFI targets vendors capable of providing a 24/7 Tier 1 support platform that can automate services across academic advising, financial aid, IT helpdesk, tutoring, and career services. Specific deliverables include a multilingual AI solution that integrates with existing institutional systems like Instructure Canvas and PeopleSoft, offering personalized academic support and proactive student engagement strategies. Vendors must demonstrate rigorous compliance with data privacy laws, FERPA regulations, accessibility standards, and provide robust user experience capabilities. The RFI requires vendors to submit a comprehensive PDF response no longer than 30 pages, with submissions due by September 29, 2025, at 2:00 PM EST. Evaluation criteria will likely focus on the platform's adaptability, integration capabilities, multilingual support, analytics features, and overall technological sophistication. The college seeks a solution that can create text messaging campaigns, offer flexible user permissions, and provide comprehensive analytics to enhance student success.
While the RFI does not specify explicit set-aside designations or vendor restrictions, it suggests a competitive procurement process open to technology vendors specializing in educational AI platforms. The document indicates this is an information-gathering exercise and does not guarantee a future contract, but SPC may follow up with select vendors for demonstrations, technical discussions, or pilot project proposals. The RFI implies potential integration requirements with existing institutional technology infrastructure, specifically mentioning Instructure Canvas and PeopleSoft systems. No specific budget range or award value is disclosed in the available documentation. Vendors will need to demonstrate advanced technological capabilities, including large language model proficiency, adaptive learning technologies, and comprehensive student support functionalities. The procurement appears focused on identifying a transformative AI solution that can significantly enhance student services through technological innovation while maintaining strict compliance with educational technology standards.
Opportunity text
St. Petersburg College seeks information from vendors about generative AI platforms designed to support students by automating Tier 1 services like advising, financial aid, IT helpdesk, tutoring, and career services. The goal is to explore AI solutions that integrate with institutional systems to enhance student engagement and success while ensuring compliance with privacy laws.
Files
| File | Type | Posted |
|---|---|---|
| RFI 02-25-26_GeneralAL_Student Support.pdf |
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