An AI learning workspace where each course gets its own space, grounded in what the professor approved.
An AI learning workspace built for university courses. Each course gets its own space, grounded in material the professor has approved, and every answer shows the page, slide, or note it came from. The workspace keeps course context across the term instead of starting each question from nothing.
How it works
A professor creates a course space and adds the readings, slides, and notes they want the assistant to work from. Students ask questions inside that space, and each answer points back to the exact source it used, so a claim can be checked against the course material rather than taken on trust.
The professor sets the boundaries. A course can allow explanation and practice while ruling out finished solutions, and those limits hold for every student in the space.
Founders
- Ibrahim HussainCEO
- Hong CaoCTO
- Contact
- admin@athenslabs.ai
- Where it is now
- Fall 2026 pilot in four BU courses
- Website
- athenslabs.ai