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Marshall University Brings Sovereign AI to Campus With ibl.ai, Taking Ownership of the Platform's Full Source Code

ibl.ai

ibl.ai | AI Operating System

Marshall University deploys the sovereign ibl.ai platform to securely create agents and applications on its own infrastructure with full code and data ownership

Agents only become useful once they can see real institutional data, so they belong behind the university's own firewall, running code the university owns.”
— Miguel Amigot II, CTO at ibl.ai.

NEW YORK, NY, UNITED STATES, October 8, 2026 /EINPresswire.com/ -- Marshall University is deploying ibl.ai's Agentic AI Operating System as a sovereign AI platform, meaning the university receives the platform's complete source code and runs it on infrastructure it controls instead of licensing a vendor-hosted tool. The partnership was announced from the main stage of the EDUCAUSE 2026 Annual Conference in Denver, where Marshall Chief Information Officer Dr. Jodie Penrod described how the university is folding AI into its institutional strategy.

Penrod said the work grew out of a summer workshop that gathered leadership from across the institution to decide what to add to, and what to drop from Marshall's strategic plan, "Marshall for All, Marshall Forever," to account for AI in teaching, learning and workforce preparation.

"We've also partnered with a company called ibl.ai, and we're going to use them as a sandbox for providing AI functionality to our faculty and staff and students, so that we can really understand the usage and also understand the return on investment of using those things," Penrod told the EDUCAUSE audience. "We're really interested in putting the right tools in the hands of our faculty, staff and students, and then measuring what that looks like to benefit the university and inform us of how we move forward."

Under the agreement, Marshall receives a full transfer of the ibl.ai codebase: the agent framework and orchestration layer, all APIs and supporting services, LMS integrations through LTI, documentation and deployment guides. Because the university holds the code and the data, its own IT organization governs access, security and model choice, and no outside party trains on institutional data.

The deployment begins with access to a portfolio of higher education-focused AI agents and use cases spanning the student lifecycle, including admissions, transcript evaluation, financial aid guidance, academic advising, tutoring, and IT support. Marshall will evaluate and prioritize the capabilities that best align with institutional needs. ibl.ai engineers will work alongside Marshall's team to integrate selected agents with university systems and establish an AI automation layer across departments.

Marshall's staff and developers also receive the environment which lets university teams build department-specific tools, workflows and automations on top of the platform without waiting on vendor engineering. The agreement includes onboarding and hands-on training so that capability stays at Marshall.

The usage-and-ROI approach Penrod described depends on that ownership. Every interaction on the platform is logged in the university's own environment, so Marshall can see which agents are used, by whom and at what cost, and compare language models from different providers on its own data. Because the platform is model-agnostic and priced on usage rather than per seat, the university pays for actual consumption and can switch models as pricing changes.

"Most universities assume AI has to be expensive and that their most sensitive data has to leave campus to use it. Neither is true," said Miguel Amigot II, Chief Technology Officer of ibl.ai. "Agents only become useful once they can see real institutional data, so they belong behind the university's own firewall, running code the university owns. Marshall can measure exactly what AI is worth to its students and staff, and if it ever decides to move on from us, it keeps everything."

Marshall joins a group of institutions running ibl.ai as owned infrastructure rather than rented software, including Syracuse University, which operates its campus AI platform inside its own cloud under a perpetual source-code license.

About Marshall University

Marshall University is a comprehensive public university with a rich history as one of the oldest institutions of higher learning in West Virginia. Founded in 1837, Marshall University advances the public good through innovative, accredited educational programs. With a student population of 13,000 students, Marshall offers more than 150 undergraduate, graduate and professional degree programs and is designated as a Carnegie Institute R2 high research activity university.

About ibl.ai

ibl.ai is an Agentic AI Operating System that organizations deploy on their own infrastructure with full source-code and data ownership. The platform is model-agnostic, supporting commercial and open-weight language models interchangeably, and is priced on usage rather than headcount. It is in production with more than 1.6 million users across more than 400 organizations. ibl.ai is SOC 2 Type 2 certified and deployable to private cloud, on-premise and air-gapped environments. The company is family-owned and operated from New York.

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