How does your AI tutoring platform with faculty oversight work?
Faculty and academic teams set scope, course context, and policy guardrails so student support aligns with class expectations while keeping instructors in control.
How do academic integrity controls work in the AI tutor?
The tutoring flow emphasizes guided reasoning, hints-first support, and configurable boundaries that can discourage shortcut behavior and support academic integrity workflows.
Do you support LTI 1.3 AI tutor integration with our LMS?
Yes. LTI 1.3 integration is available now for Brightspace (D2L), and Canvas is currently in the pipeline.
Can this work with Brightspace (D2L) and other LMS platforms?
Brightspace (D2L) is supported today through LTI 1.3. Canvas is in the pipeline, and additional LMS support is evaluated with institutional stakeholders.
What AI model does Tutor Chat AI use?
Tutor Chat AI uses a secure proprietary AI model based on the Llama 3 open-source platform.
What does FERPA-aware AI tutoring mean in practice?
Our privacy-first approach is designed for higher education environments with configurable data handling, role-based access, and institutional governance review.
How do you support data governance for AI tutoring?
Institutions can define governance workflows around access, reporting, and lifecycle expectations so AI tutoring usage aligns with campus policy requirements.
How do we request an AI tutoring pilot program for our university?
Submit the request form on this page, and we will coordinate scope, timeline, and evaluation criteria with your team.
What student success analytics do faculty and administrators receive?
Reporting focuses on learning insights for faculty, engagement patterns, and knowledge-gap signals that help teams identify where students need support.