9280-25-R-IFBD-00008

The University of Southern Mississippi (USM) is conducting a procurement process for a comprehensive Generative AI Environment focused on Autonomy and Ocean Data Analysis, identified as Bid 25-10 and RFx: 3160006892. The solicitation seeks a vendor to develop an advanced AI platform capable of managing ocean data through complex processes including collection, processing, validation, synthesis, discovery, access, manipulation, storage, and dissemination. Key deliverables include developing APIs or adapters for integration with existing models, ensuring compatibility with current data formats and workflows, and creating an optimized platform deployable on high-performance laptops and servers. The platform must incorporate a blockchain architecture for logging remote interactions and AI retraining, and provide intuitive tools for Subject Matter Experts to create and augment AI models. Vendors must demonstrate a proven track record in developing similar Generative AI software and agree to a minimum one-year warranty period. Sealed bids are due on Wednesday, October 2, 2023, at 2:00 p.m., to be submitted at the Office of the Director of Procurement Services, located in Bond Hall, Room 214, Hattiesburg, Mississippi.

While specific set-aside designations are not explicitly detailed in the provided documents, the University reserves the right to reject any or all bids, which suggests flexibility in vendor selection. The procurement appears to be open to qualified technology vendors with expertise in AI, ocean data science, and software development. No incumbent vendors are identified in the documentation, and no specific budget range is mentioned. The project spans Greene County and is part of Mississippi's state procurement process. Vendors will be required to provide comprehensive training materials, support documentation, and maintain the platform without additional cost to the University during the warranty period. The successful vendor will serve as the sole point of contact for warranty-related issues and must demonstrate technical capability to meet the sophisticated requirements of developing a generative AI environment for autonomy and ocean data analysis.