Faculty-controlled AI teaching assistants for real courses.

EdPilot helps universities launch AI support grounded in course materials, governed by faculty, and ready for institutional review.

BIO 214Cell Signaling and Disease

Student Workspace

The answer stays inside the course.

Cites sources
Why does receptor desensitization matter in long-term treatment?
Receptor desensitization means the cell responds less after repeated exposure to a signal. In this course, Professor Rivera connects it to dosage planning: the same signal can produce a weaker effect over time, so treatment has to account for changing responsiveness.
1Week 6 slides, frames 18-212Case note: beta blockers, p. 3

Course-grounded

Answers come from uploaded materials.

Faculty-controlled

Boundaries, tone, and policies stay instructor-led.

Institution-ready

Built for privacy, rollout, and procurement questions.

Cites sources

Students can see what course material supports an answer.

Students are already using AI to study. EdPilot gives them one that knows the course, respects faculty rules, and shows its work.

Product In Action

The course model powers every answer.

Upload materials once, set the boundaries, then give students support that reflects the class they are actually taking.

01

Upload course materials

Syllabi, lectures, readings, rubrics, policies, and assignments become the source of truth.

02

Configure guardrails

Faculty choose citation rules, assessment boundaries, tone, and what the assistant can answer.

03

Students ask safely

The assistant gives grounded explanations, practice prompts, and hints without completing work.

04

Faculty see patterns

Confusion, misuse attempts, and concept gaps become visible before the next assessment.

Who It Helps

One platform, three clear experiences.

The product story changes by role, but the core promise stays the same: governed AI support inside the academic boundary.

Professors

Fewer repetitive questions, more useful signals.

Set the knowledge boundary, review source-backed answers, and see where students are struggling before office hours fill up.

Students

24/7 help that speaks the language of the class.

Get explanations, practice prompts, and citations from the actual syllabus, slides, readings, and rubrics.

Administrators

A governed path for campus AI adoption.

Pilot course-grounded AI with privacy posture, rollout controls, and faculty ownership built into the experience.

Why EdPilot

Built for higher education, not generic chat.

Other AI tools are built for everyone. EdPilot is scoped to a course, governed by faculty, and designed for institutional review.

Course-specific by default

Every answer is grounded in uploaded course materials, not a generic web-scale guess.

Faculty-controlled

Instructors define what the AI knows, how it responds, and where it stops.

Integrity-first

Designed to guide students toward understanding instead of completing assessed work.

Insight-rich

Show where students are confused before confusion becomes an exam result.

Featured Product

AI Teaching Assistant

A teaching assistant that answers student questions at 2am using your materials, your terminology, and your standards.

  • Cites your readings instead of random internet sources.
  • Flags misconceptions before they reach the exam.
  • Follows the guardrails and knowledge boundary you set.
  • Separates fast pilots from responsible institutional rollout.
Explore Curriculum Intelligence

Institutional Proof

Prepared for the questions buyers actually ask.

EdPilot makes the academic, privacy, and implementation posture visible before a pilot turns into a procurement surprise.

FERPA posture

Built around institution-bound course and student data, with public model training off the table.

Data boundaries

Course materials, student interactions, and deployments are scoped by institution and course.

Procurement-ready notes

Clear answers for data handling, accessibility, LMS status, retention, and pilot rollout.

Accessible by design

Interaction patterns and content flows are designed with accessibility review in mind.

Faculty ownership

Course control stays with the instructor instead of moving into a generic AI layer.

Integrity controls

Assessment and homework requests can be routed toward hints, practice, or refusal states.

See EdPilot on your course materials.

Book a demo for a university rollout or start a professor-led pilot with real syllabus content.