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AI Enabled Teaching Tool for Engineering Courses

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TAMU-TAMU-RFP-26-5082State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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Texas A&M University’s College of Engineering is seeking a vendor to deliver an AI-enabled teaching tool designed to enhance course development and delivery for engineering faculty. The platform must support adaptive assessments, retrieval-augmented generation tutoring for students, and ensure full compliance with federal ADA standards for instructional materials. Proposals must fully address the technical and functional requirements outlined in the solicitation and include a completed State of Texas Subcontracting Plan, as failure to submit this document will result in disqualification. All submissions must adhere to the instructions in the official RFP document and be sent by the deadline of August 27, 2026. The primary point of contact for inquiries is Stephen Wolfe, reachable at swolfe3@tamu.edu. The solicitation was posted on July 31, 2026, under reference number TAMU-RFP-26-5082, and responses must be submitted through the designated procurement portal.

General Info

Texas A&M seeks AI teaching tool with adaptive assessments, tutoring, ADA compliance, and mandatory subcontracting plan by August 27, 2026.

Agency

Texas A&M UniversityView Agency

NAICS

541511 - Custom Computer Programming ServicesView NAICS

Place of Performance

Not specified

Set-Aside

NONE

Documents

(5)

State of Texas Subcontracting Plan.pdf

PDF

TAMU Insurance Requirements - Technology Services.docx

DOCX

Texas A&M University Best Value Criteria FY26

PDF•best-value-criteria

TAMU-RFP-26-5082.pdf

PDF

AI Enabled Teaching Tool for Engineering Courses TAMU-RFP-26-5082--Final.pdf

PDF

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Timeline

PhaseSolicitation
Posted

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Organization & Contact Information

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AgencyTexas A&M University
Contacts1 person available
OfficeN/A
Organization / Agency
Texas A&M University
View Agency Profile
Office AddressN/A
Contacts
Stephen Wolfe
contact@example.gov

Full Description

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Texas A&M University AI Enabled Teaching Tool for Engineering Courses TAMU-RFP-26-5082 Texas A&M College of Engineering seeks to contract a vendor to provide a software tool or suite of tools to support faculty in engineering for course development and delivery, to facilitate adaptive assessments, provide retrieval-augmented generation (RAG) tutoring for students, and support federal ADA-compliance for instructional materials. This SOW outlines the technical and functional requirements for procurement and implementation. Include contact name, phone number, and email address within your RFP response. **** See attached RFP document, located in the Buyer Attachments Section, for details. Proposals must be sent in accordance with the attached RFP document. **** Proposals must include a completed State of Texas Subcontracting Plan (SP). FAILURE TO DO THIS SHALL DISQUALIFY YOUR PROPOSAL. Reference the State of Texas Subcontracting Plan document for details.

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