EDUCAUSE Annual Conference 2026 · Denver
Sovereign AI for Higher Education: Meet ibl.ai at EDUCAUSE 2026
ibl.ai brings sovereign AI to EDUCAUSE 2026: a campus-wide agentic AI platform where you own all the code and the data, run it inside your own cloud or data center, choose any model, and pay by usage with no per-seat pricing.
Syracuse University runs it today as Clementine, its own AI platform for 30,000+ students.
The ibl.ai team will be in Denver for all of EDUCAUSE 2026. Book a 1:1 and we will show you the deployment Syracuse runs — on its own Google Cloud, under its own name, next to the commercial AI tools it already licenses.
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How does Syracuse University run AI it owns outright?
"We wanted full ownership of our AI platform — the code, the data, the infrastructure. ibl.ai delivered exactly that.
We're running on our own GCP, with our own models, fully integrated into our campus systems."

Jeff Rubin
Senior Vice President & Chief Digital Officer, Syracuse University

Syracuse bought the ibl.ai source code instead of renting a platform, deployed it on the university's own Google Cloud, and named it Clementine.
It is listed beside Claude Enterprise, Microsoft Copilot and Google Gemini as University-approved AI — and it is the only one of the four Syracuse owns outright.
- Students served
- 30,000+
- Lower AI costs than per-seat SaaS
- 85%
- Students in Class Search's first 37 days
- 2,038
- Of questions asked after hours
- 37%
Figures published by Syracuse University ITS at ai.syracuse.edu, covering March 25 – April 30, 2026. Read Syracuse's report on Clementine's first registration season
What is ibl.ai showing at EDUCAUSE 2026?
ibl.ai is showing higher-education leaders a campus AI platform the institution owns rather than rents. Every item below runs in production at a university today, and each one is something you can see live in a 30-minute 1:1.
A campus AI platform under your own name
Syracuse runs ibl.ai as Clementine, branded to its own UX standards and signed in through university SSO — Shibboleth, SAML or CAS. It looks like a campus system because it is one.
Registration and advising agents
Clementine Class Search answered 8,217 questions from 2,038 students in its first 37 days. On April 14 alone, students sent 1,055 questions across 313 conversations.
Course agents grounded in faculty material
An instructor loads lecture transcripts and slides into an agent told to answer from that material first. At Syracuse, one course agent serves a 200-student intro IT class.
Any model, chosen per agent
Every agent author picks the model behind their agent — Claude, ChatGPT or Gemini — and switches at any time. The institution, not the vendor, owns that choice.
Guardrails the institution sets
Moderation stops agents wandering into medical, legal or financial advice and redirects to the right campus office. Authors decide who can see each agent and whether sign-in is required.
Deployment on your terms
Run ibl.ai in your own cloud project, a VPC, on-premise hardware or a fully air-gapped network. Syracuse runs it on Google Vertex AI inside its own Google Cloud.
ibl.ai connects to the systems your campus already runs, so agents answer with institutional context instead of generic web knowledge:
How does sovereign AI answer the 2026 EDUCAUSE Top 10?
The 2026 EDUCAUSE Top 10 is organized around one theme, Making Connections, and several of its issues are decided by who owns the AI stack. Here is how ibl.ai's ownership model maps to the issues higher-education IT leaders ranked for 2026.
Knowledge Management for Safer AI
Agents answer from material your institution approves and cite it back to the source. Syracuse's guardrails redirect medical, legal and financial questions to the right campus resource.
Collaborative Cybersecurity
ibl.ai runs inside your perimeter — your cloud project, VPC, data center or an air-gapped network — behind your SSO and role-based access, managed by your security team like any campus system.
Building a Data-Centric Culture Across the Institution
Conversations, usage analytics and agent data land in infrastructure you own, where your analysts can query them — not in a vendor dashboard you export from.
AI-Enabled Efficiencies and Growth
37% of Class Search activity at Syracuse happened after hours, when advising offices were closed. Usage-based pricing means the 30,001st student costs no more than the first.
Measured Approaches to New Technologies
Because ibl.ai is model-agnostic, you can pilot one model, measure it and switch without rewriting anything. If you ever part ways, you keep the code, the data and the integrations.
The Human Edge of AI
Faculty stay in charge: instructors decide what an agent will not answer, define its voice and point students to campus resources, keeping oversight of everything it says.
Issue titles from the 2026 EDUCAUSE Top 10: Making Connections.
What do university leaders say about running ibl.ai?
Testimonials are verbatim, from the people who run ibl.ai at their institutions. Nothing below has been edited except for paragraph breaks.
"ibl.ai does amazing work and are great people."

Paul LeBlanc
Former President and CEO of Southern New Hampshire University, 2003 to 2024
"Working with ibl.ai has been a very positive experience.
The platform offers something that is difficult to find with other AI vendors: institutional ownership and control of AI infrastructure and data, which is critical in higher education, especially for protecting student and faculty work.
The administrative tools are also well designed, providing visibility and control over AI use at both the university and course levels. What truly sets ibl.ai apart, though, is the people behind the platform.
Their team is responsive, genuinely invested in our success, and consistently willing to go beyond what would normally be expected to help think through institutional questions and implementation challenges.
In a space where many AI vendors make broad promises, ibl.ai has been a reliable partner that follows through and remains engaged throughout the process."

Audeliz (Audi) Matías, Ph.D.
SUNY
"The ibl.ai generative AI platform is both powerful and thoughtfully designed — it gives us the flexibility to deploy multiple models while keeping governance front and center.
What really sets them apart is the support; their team is responsive, deeply technical, and genuinely invested in our success."

Benjamin Breyer
Columbia University
"ibl.ai gives instructors far more control than ChatGPT… I can decide what it won't answer, define the personality, and point students to our own campus resources."

Ken Fujiuchi
SUNY
"I am thrilled with ibl.ai — it's a state-of-the-art, LLM-agnostic platform that gives our college full control over our AI teaching agents.
We can customize every aspect of these agents to align with our curriculum and pedagogical goals, empowering our faculty to innovate in ways we never thought possible.
The platform's technical sophistication is matched only by the warmth and responsiveness of the ibl.ai team — they have been true partners, working closely with us to fine-tune the system and support our instructors at every step.
It's a solution born from genuine collaboration and a keen understanding of educational needs.
It aligns perfectly with our institution's mission to elevate teaching and learning through cutting-edge yet human-centered technology."

Dr. Juana Mendenhall
Morehouse College
"ibl.ai has been an outstanding partner on our multi-campus SUNY IITG project. From day one, their team took the time to understand our specific needs and worked alongside us at every stage of the project.
The platform itself is robust and thoughtfully designed, giving administrators the tools, flexibility, and confidence needed to manage AI across an institution.
Just as importantly, ibl.ai's data ownership model provides reassurance that institutional information remains secure and appropriately governed.
What has impressed me most, however, is the quality of their support. Questions are answered promptly, feedback is taken seriously, and it is clear that the ibl.ai team genuinely cares about the institutions they serve.
For anyone evaluating AI platforms, ibl.ai stands out not only for what their platform enables, but also for the partnership, responsiveness, and care they bring to work."

Deepa Deshpande, Ph.D.
SUNY Alfred State
"We brought ibl.ai genuinely hard problems, and the answer was never 'no' — it was 'let us figure it out,' and they did, every time.
No request was too complex, no challenge ever met with 'that's not possible' — the hardest things we put in front of them were the ones they solved best.
Add a flexible, model-agnostic platform backed by a team genuinely on the leading edge of AI, and you have a partner, not a vendor. That's real partnership."

Marwan Alamat
West Coast University
"ibl.ai's generative AI in education is set apart by their unparalleled expertise and their commitment to empowering educators by putting full control in their hands.
Their platform enables instructors to customize AI agents, ensuring that the AI responses are always grounded in course materials—minimizing the risk of inaccuracies or hallucinations.
ibl.ai has designed a vendor-agnostic solution, allowing us to choose the best AI model for our needs, whether it's OpenAI, Google Gemini, or open models like LLaMA.
This flexibility, paired with their incredible support structure, ensures that the platform stays relevant and adaptable as AI technology evolves.
Their professional services team is top-notch, guiding us through every step of implementation and continuously augmenting the platform to meet our unique requirements.
What I appreciate most is how ibl.ai strikes the perfect balance between cutting-edge technology and pedagogical principles. Their tools are built to enhance learning rather than shortcut it, fostering critical thinking and deeper engagement among students.
For any educational institution looking to lead the future of AI-driven learning, ibl.ai is the gold standard."

Lorena Barba
George Washington University
"As I first began talking to ibl.ai about our project, I also began talking to ibl.ai's references. They were glowing.
Our project's direction changed many times, and ibl.ai was always ready to adapt and suggest new ways forward.
Even as our work extended beyond projected timelines, ibl.ai remained committed and flexible and made sure we stayed on track.
ibl.ai is eager to push boundaries in AI education. It's developing innovative tools that are allowing us to offer cutting-edge features.
ibl.ai has always been responsive, flexible, incredibly supportive, and forward thinking."

Juile Diop
MIT
"I couldn't be happier with what ibl.ai has created for my students. The AI Agents are loaded with features that no other solution can match, and ibl.ai has been incredibly supportive of faculty needs.
These Agents are designed to encourage students to think independently and conduct their own high-quality research. ibl.ai also offers full ownership of their product to their partners, making them far more affordable than competitors while delivering a top-notch, reliable platform.
I highly recommend ibl.ai to any educator."

Erika Digirolamo
Monroe College
"ibl.ai's customized agent provides my US history survey classes with a reliable AI partner. Building from my narrative text and primary support documents, the agent removes the temptation to search the web and reinforces my selected student learning outcomes.
My US history survey students are combing the web for support materials. ibl.ai takes my narrative text and supporting primary source documents and builds the tutor from that chosen base and assists me in reinforcing the core themes of the class.
For those of us in the humanities and social sciences, AI has been seen as a 'cheating' mechanism.
I value ibl.ai as a supporting platform that takes my chosen narrative text and primary source documents—and from them builds a custom-made tutor to support my student learning outcomes. This provides seamless support for my students.
ibl.ai directly benefits the US history survey student, who in seeking more comprehension and details, can now easily access the customized agent platform and be better assured the information correlates with their unique narrative text and professor curated primary sources."

David Flaten
SUNY
"I will not hesitate to recommend ibl.ai to my colleagues. They have high energy and really know their stuff."

Jason Dom
American Public University System
What do the technology partners campuses already run say?
"ibl.ai is at the forefront of generative AI, delivering cutting-edge solutions that empower institutions with full ownership of their code and data.
Their advanced features seamlessly integrate with both web and native mobile platforms, ensuring a smooth and versatile user experience. ibl.ai's technology effortlessly connects with existing infrastructure, making it easy to deploy across the entire organization.
Their support is not only top-tier but also highly innovative, consistently providing personalized solutions that keep us ahead of the curve."

Chris Gabriel
"What set ibl.ai apart for us is their commitment to institutional control. Their platform taps into the NPU (neural processing unit) on Microsoft Surface Copilot+ PCs to offer offline AI experiences that feel as fast as the cloud.
Students get instant, on‑device tutoring and faculty gain powerful content tools — all with data staying local. This collaboration reflects exactly the kind of innovation Microsoft Surface aims to accelerate in education."

Robert Henry
Microsoft
"ibl.ai was a game-changer for me. Working with the team was easier than working with any engineering team I've ever had to deal with.
We hit all of our deadlines on time and they were more than eager to help out with things not directly in our agreement. I would recommend them to anyone."

Adam Tetelman
Nvidia
Pilots, deployment, and full ownership
Most enterprise engagements are one-time, not subscriptions. You integrate ibl.ai with your own data, deploy it on your own infrastructure, and the engineering hours scale with the work — so the price tracks the scope, not your headcount.
Pilot
fixed scope · fixed timeline
A time-boxed proof of value on your real data — not a slide deck.
Best for: Teams that want to see ibl.ai working before committing.
- Deployed on your infrastructure or our cloud
- 1–2 production agents wired to a slice of your data
- One integration (LMS / SIS / SSO / data source)
- Weekly working sessions with our engineers
- Pilot fee credits toward a full engagement
Integration & Deployment
one-time · not a subscription
Full deployment integrated with your data and systems. Engineering hours scale with scope.
Best for: Organizations rolling ibl.ai out across a department, campus, or business unit.
- Platform deployed in your VPC, on-prem, or air-gapped
- Integrated with your data + identity (SSO / SAML)
- Multiple custom agents built to your workflows
- Engineering hours proportional to scope
- You own the data · run any LLM you choose
Codebase Transfer + Custom AI Engineering
perpetual license · you own the stack
We transfer the full source code. You own and self-host the entire platform — outright.
Best for: Organizations and enterprises that benefit from perpetual ownership and sovereignty.
- Complete source-code transfer + perpetual license
- Dedicated AI engineering team on your roadmap
- Custom agents, models, and integrations to spec
- Air-gapped capable · zero vendor lock-in
- Family-owned, New York–based long-term partner
Why choose sovereign AI over a managed AI layer for your campus?
Most AI products sold into higher education are managed layers: the vendor hosts the code, stores the data and picks the model. ibl.ai is the opposite shape, and at Syracuse the difference reads like this.
Typical managed AI layer
- Vendor owns the code and can change it
- Data stored on vendor infrastructure
- Locked into the vendor's model choice
- Features disappear if the vendor pivots
- Per-seat pricing punishes growth
- Leaving means a data-migration project
ibl.ai at Syracuse
- Full source code with a perpetual license
- Data stays on university infrastructure
- Connect any LLM and swap as pricing changes
- The university controls the roadmap
- Usage-based cost for unlimited users
- If you part ways, you keep everything
You own all the code and the data
Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours.
Model-agnostic
Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform.
No per-seat pricing
Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ.
Deploy anywhere
Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity.
Who you partner with matters as much as what you deploy.
ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.
Which universities already run AI they own on ibl.ai?
Behind every quote on this page is a running system. Three higher-education deployments, each with its own case study.
AI Sovereignty at Syracuse University
Full code ownership on Syracuse’s own GCP, deep SSO/RBAC integration, and 85% lower costs.
Code Ownership at Fordham University
Full source code with perpetual license. ibl.ai handles hosting so Fordham focuses on academics.
Screen-Aware AI Support at West Coast University
AI agents that see the user’s screen and guide them in real time — model-agnostic, no per-seat.
EDUCAUSE 2026 questions, answered
Where can I meet ibl.ai at EDUCAUSE 2026?
The ibl.ai team will be in Denver for the whole conference, September 29 – October 2, 2026. Book a 30-minute 1:1 in person — or by video if you can't make it — at cal.com/iblai/30min, or call or text (571) 293-0242.
When and where is the EDUCAUSE Annual Conference 2026?
The in-person conference runs September 29 – October 2, 2026, at the Colorado Convention Center in Denver. The online EDUCAUSE Annual Conference follows on October 14–15, 2026.
What does sovereign AI mean for a university?
Sovereign AI means the institution controls the whole stack: you own all the code and the data, the platform runs on infrastructure the university governs, and the university chooses the model.
With ibl.ai, that is the default deployment, not an enterprise add-on.
Can we keep ChatGPT Edu, Claude, Gemini or Copilot alongside ibl.ai?
Yes. Syracuse lists Clementine, its ibl.ai deployment, beside Claude Enterprise, Microsoft Copilot and Google Gemini as University-approved AI.
ibl.ai can also run those same model families behind your own agents, so the choice of model stays separate from the choice of platform.
How does ibl.ai handle FERPA and student data?
When ibl.ai runs inside your own cloud or data center, as it does at Syracuse, student records and conversations never sit on a vendor's servers.
Your existing FERPA controls, access policies and retention rules apply to it the way they apply to any other campus system.
How long does a campus deployment of ibl.ai take?
A production deployment typically takes 2–4 weeks, with full source code delivered. Building a comparable platform in-house usually takes 12–24 months and a dedicated AI engineering team.
Can't make it to Denver?
The same 30-minute conversation works by video, before, during or after conference week. Bring your CIO, your CISO or your provost's office — we will walk through Syracuse's deployment and map it to your campus.
Or call or text (571) 293-0242
Printable leave-behinds for your team: Higher Education Overview one-pager (PDF) · Higher Education conference banner (PNG)