AI Enabled Teaching Tool for Engineering Courses

Texas A&M University is seeking a vendor to provide an AI-enabled teaching tool tailored for engineering courses, aiming to enhance faculty capabilities in course development and delivery while improving student learning through adaptive assessments and retrieval-augmented generation tutoring. The software must ensure federal ADA compliance for all instructional materials and be fully integrated into the university’s academic environment. Proposals must be submitted by August 27, 2026, through the process outlined in the attached Request for Proposal document, and must include a completed State of Texas Subcontracting Plan, without which the submission will be disqualified. The solicitation, issued under NAICS code 541511 for computer systems design services, does not specify a contract value but emphasizes best value selection based on purchase price, total long-term cost, vendor reputation, quality of service, and alignment with institutional needs such as accessibility and support for underutilized businesses. The winning vendor must deliver a scalable, reliable solution that meets minimum technical and functional specifications, and must provide contact information including name, phone number, and email in their proposal. While no formal period of performance, delivery schedule, or FOB terms are detailed, performance is expected to support the Texas A&M College of Engineering, likely across multiple campuses. The university retains final acceptance authority, and the tool must demonstrably meet ADA compliance without exception. Although no specific inspection criteria or technical standards like WCAG are cited, adherence to federal accessibility requirements and submission of references, insurance documentation, and evidence of past performance are essential components of evaluation. The contracting office, led by Stephen Wolfe, is managing the process and expects full compliance with state subcontracting regulations as a mandatory condition of award.