Why AI companies want education and training data
Training providers hold structured knowledge on how people learn a skill: curricula, assessments, grading rubrics and instructor feedback. AI tutoring and coaching agents need examples of how experts assess work and give feedback.
What's licensable in education and training
| Data | Examples |
|---|---|
| Curriculum and course design | Syllabi, lesson plans, learning objectives |
| Assessments | Question banks, practical exams, answer keys |
| Grading rubrics | Rubrics with graded examples (learner identity removed) |
| Instructor feedback | Feedback notes and coaching guides |
| Program operations | Enrollment, scheduling and completion tracking processes |
| Instructor training | Facilitator guides, onboarding, observation checklists |
What to leave out
Student records, grades and submissions tied to individuals. Schools may also be bound by student privacy laws and their own policies. Licensed third-party content you don't own should stay out. See client data vs. company data.
How to raise your value
Rubrics paired with graded work and the instructor's feedback show what good looks like. Remove learner identity and keep the pairing. Connected records (the SOP, the work done under it and the outcome) are worth more than isolated files. More in what drives data value.
Do you qualify?
- 30+ employees
- Written processes and established documentation
- English-language docs
- US-based companies get priority
Take the 60-second estimate to see which payout tier fits your company.
Frequently asked questions
Can education and training businesses sell their data to AI?
Yes. Companies in education and training with 30+ employees and documented processes can license operational data such as SOPs, workflows and training materials. Published payouts start at $100K.
What education and training data can't be sold?
Student records, grades and submissions tied to individuals. Schools may also be bound by student privacy laws and their own policies. Licensed third-party content you don't own should stay out.
- Published enterprise data program terms (2026)