About TUEL
Built by an AI systems operator. Validated by a faculty researcher.
TUEL exists because higher-ed teams needed something more serious than generic AI chat. Ozzy Akben built the platform layer. Dr. Mustafa Akben shaped the pedagogical and institutional requirements. Elon University became the live proof that the model works.The result is an institution-ready platform for course-grounded tutoring, faculty control, governance, and branded deployment, not a one-size-fits-all chatbot wrapper.
- Spring 2026 proof
- 202
- active users at Elon
- Voluntary use
- 88%
- adoption without forcing usage
- Academic signal
- 94%
- average exam score among engaged weekly users
Why TUEL exists
The product started with a faculty problem, not a marketing idea.
Mustafa Akben, Assistant Professor of Management and Director of Artificial Intelligence Integration at Elon University, needed AI tutoring that actually respected the classroom. Generic chatbots could not stay grounded in course materials, could not show citations clearly, and could not give faculty enough control over what students would see.
He partnered with Ozzy Akben to build something more defensible: a platform that can ingest course materials, cite the exact source behind each answer, and give institutions operational control over how the AI behaves, how it is branded, and how it is monitored.
That collaboration produced Elon AI, the first TUEL-powered deployment. The public outcomes from that launch are why TUEL now has a credible story for other institutions evaluating higher-ed AI.
From research question to live deployment
TUEL moved from a specific higher-ed requirement to a production launch with public outcomes.
2024
A faculty research question turned into a product requirement: students needed AI help grounded in course materials, not generic chatbot answers.
2025
Ozzy built the TUEL platform layer for retrieval, faculty tooling, analytics, and institutional controls.
December 2025
The first branded deployment launched as Elon AI for the Spring 2026 semester.
Spring 2026
Live proof followed: 202 active users, 88% voluntary adoption, and 94% average exam scores among engaged weekly users.
How TUEL becomes an institution-branded deployment
One platform layer stays consistent. Elon University shows how TUEL preserves institutional identity, governance, materials, and rollout discipline in a live deployment.
Institution inputs
Course materials
Syllabi, lecture notes, textbooks, and approved learning assets.
Policies and guardrails
Faculty intent, academic boundaries, supported tools, and institution rules.
Identity and LMS fit
SSO, LTI-ready workflows, enrollment context, and institution-specific access.
TUEL platform layer
One verified delivery system, configured to institutional realities
TUEL keeps the product layer consistent while each institution controls the materials, behavior, access model, and governance boundaries around the deployment.
Course-grounded retrieval and citation verification
Faculty-controlled assistant behavior by course
Role-based permissions, audit logging, and telemetry
Tenant-aware deployment boundaries and data ownership
Delivered to teams
Student assistant
Course-grounded tutoring, interactive tools, and verifiable responses.
Faculty controls
Configuration, rollout settings, and per-course assistant governance.
Admin analytics
Operational oversight, adoption telemetry, and review-ready reporting.
Institutional trust anchors
This is the model institutional buyers review: approved inputs, controlled assistant behavior, observable operations, and deployment surfaces aligned to real campus stakeholders.
Institution-owned data
Audit-ready telemetry
Rollout model built for procurement review
Deployed as
First deployment
Elon AI
A TUEL-powered deployment live at Elon University with branded student experience, faculty setup, and real production telemetry.
Institution-branded deploymentSpring 2026 proof point
- Branded student-facing assistant experience
- Faculty-controlled course configuration
- Live production analytics and deployment telemetry
- Active users
- 202
- Adoption
- 88%
- Exam average
- 94%
Next rollout
Your institution
Same platform, configured to your identity
Your branded deployment
TUEL does not ask institutions to abandon their identity. It configures the AI around your brand, your policies, your course boundaries, and your operational stakeholders.
- Your logo, colors, and institutional identity
- Your course materials, policies, and academic boundaries
- Your rollout, governance, LMS, and stakeholder workflows
This is the operating model TUEL is scaling: one serious platform layer, multiple institution-specific deployments.
Why institutions trust TUEL
The product is designed to help institutions evaluate AI as an operational system, not just a classroom novelty.
Course-grounded verification
TUEL is built so students, faculty, and administrators can inspect what the AI used, where the answer came from, and how the platform is behaving in production.
Faculty and institutional control
Every deployment is configured around course materials, faculty intent, and institution-specific boundaries instead of one generic assistant for every school.
Deployment-grade governance
The platform is designed for auditability, data ownership, and institutional rollout readiness, not just a marketing demo.
Leadership and research
TUEL pairs product execution with academic credibility. That combination is central to why the platform feels institution-ready.
Ozzy Akben
Founder & CEO
AI full-stack engineer and EdTech founder
Ozzy built TUEL from the platform layer up: retrieval, agent orchestration, faculty tooling, analytics, and deployment workflows for higher education teams. His background in software engineering and 6+ years of QA/SDET discipline shows up in TUEL’s reliability, testing rigor, and launch readiness.
- Production RAG and agentic workflows
- Next.js, FastAPI, and modern LLM systems
- Reliability and deployment discipline from QA/SDET work
Dr. Mustafa Akben
Research advisor and deployment lead
Assistant Professor of Management and Director of Artificial Intelligence Integration at Elon University
Mustafa shaped TUEL’s pedagogical model, course-grounding standards, and institutional rollout approach. He led the Elon deployment, translated learning research into product requirements, and publicly shared the results that now anchor TUEL’s credibility with higher-ed buyers.
- Pedagogical and learning-design oversight
- Led the Elon deployment with 88% voluntary adoption
- Public faculty and results proof tied to a live rollout