The AI should reflect your expertise. Not replace it.
EdPilot builds course-specific AI from faculty materials. Instructors define what it knows, how it responds, and where it stops.
Students are using AI to study for your exams right now.
Generic AI does not know your syllabus, your framing, or your standards. It gives confident answers that can directly contradict what you taught.
Built at the course level.
Most ed-tech AI is institution-wide and curriculum-agnostic. EdPilot starts with the course and the faculty member responsible for it.
Course-bound
Each course gets its own AI, trained on its own materials. Nothing bleeds across courses or departments.
Faculty-governed
Scope, tone, and guardrails are set by the instructor, not by a vendor default.
Institutionally designed
Built for IT, legal, and compliance teams to approve, not for shadow adoption.
AI in education is inevitable. Our mission is to ensure it amplifies the professor's expertise, not replace it.
How we build
Faculty authority
The instructor defines what the AI knows and what it will not touch. Those boundaries are enforced.
Integrity by design
EdPilot guides students toward understanding. It does not hand over finished work.
Learning over convenience
If a student wants a fast answer instead of understanding, EdPilot is intentionally less useful.
No black boxes
We explain what data goes in, how course models work, and where the system has limits.
Founded by practitioners.
Two people who came up through higher education and got tired of watching it fumble its own AI problem.
FERPA aligned
Student data never trains public models. Course data stays inside your institution.
WCAG & ADA
Accessibility is a requirement, not an afterthought.
Data isolation
Nothing crosses institution or course boundaries without authorization.
See what it looks like on your course.
Send us your materials. We will build a live demo and walk through exactly what students would see.