Custom Generative AI Platform

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Title:  

Custom Generative AI Platform

Agency:  

Virginia Polytechnic Institute and State University (Virginia Tech)

State:  

Virginia

NAICS Code:  

511210

Industry:  

Information Technology and Software Development

Solicitation Type:  

Request for Proposal

Solicitation ID:  

351512603

Open Date:  

11/10/2025

Questions Due Date:  

11/21/2025

Close Date:  

12/18/2025

Project Duration:  

2 years

Last Updated:  

Description:
The Division of IT at Virginia Tech seeks to deploy a custom generative AI platform for use by all eligible faculty, students, and staff. The platform should leverage the existing business relationship with Microsoft and the current infrastructure investment in the Microsoft Azure cloud platform. The system should provide a chat-centric web-based user interface, direct API access for researchers and others developing custom applications, and the ability to access large language models (LLMs) trained and/or augmented using university-managed high-performance computing infrastructure. Some key features of the platform include: • Mandatory platform capabilities such as runs in existing university-managed Microsoft Azure tenant, follows Azure AI Foundry best practices, and maintains version history of product with the ability to roll back to previous versions • Security requirements such as single sign-on through Microsoft Entra ID, role-based and/or group-based access control via Grouper, and capabilities for guardrails to prevent abuse • Support requirements such as ongoing technical support and maintenance of the product, escalation path for user support issues with defined response times, and monthly or quarterly support calls with Virginia Tech administrators
Attached Files:

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

Contact Information:

Emma Ruby(Procurement Officer)

emmaru97@vt.edu

(540) 231-9514

Budget Estimate (AI):

$500,000 – $2,000,000

The estimated budget for this opportunity is difficult to determine without more information on the scope of work and the pricing structure. However, based on the requirements and the fact that it's a custom generative AI platform, the estimated budget could be in the range of $500,000 to $2 million per year, considering the cost of similar projects in the industry and the complexity of the required features. Factors that may influence the likely payment range include the number of users, the level of customization, and the duration of the contract.

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