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Texas A&M University·Texas

AI Enabled Teaching Tool for Engineering Courses

Closes 8/27/2026$100k – $250kRequest for Proposal
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Description

Texas A&M University’s College of Engineering seeks a vendor to supply an AI‑enabled teaching platform that will support faculty in creating, delivering, and assessing engineering courses. The solution must integrate with Canvas via LTI 1.3, provide adaptive assessment capabilities, offer retrieval‑augmented‑generation (RAG) tutoring, and ensure full ADA/Section 508 compliance, including OCR for engineering‑specific graphics. The contract is a one‑year term with two optional one‑year renewals, and the university requires extensive compliance documentation (TX‑RAMP, SOC 2 Type II, HECVAT, VPAT), a state‑mandated subcontracting plan for contracts ≥ $100 K, and specific insurance coverages. • Deliver a web‑based or cross‑platform AI teaching tool with adaptive assessments and RAG tutoring. • Integrate securely with Canvas LMS (LTI 1.3) and provide REST APIs for analytics. • Meet FERPA, WCAG 2.1 AA, Section 508, and Texas‑specific security standards, and submit required compliance artifacts. • Provide 100 % Net 30 payment terms, insurance, and a Vet HUB subcontracting plan if subcontractors are used.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Stephen Wolfe(Assistant Director, Procurement Services)

[email protected]

(979) 845-4570

Key dates

Opened
7/31/2026
Questions due
8/7/2026
Closes
8/27/2026
Duration
1 year

Last updated

Details

Type
Request for Proposal
Industry
Education
NAICS
511210
Solicitation №
TAMU-RFP-26-5082

Budget estimate

$100,000 – $250,000

The solicitation does not disclose a contract value, but the requirement for a State of Texas Subcontracting Plan indicates the anticipated contract exceeds $100,000. Considering typical SaaS implementation, licensing, support, and compliance costs for an enterprise‑wide AI tool, a realistic award range is roughly $100k–$250k for the first year, with potential additional spend for optional renewals and professional services.

AI estimate from the solicitation

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