AI agents for education.
AI in education fails when it answers from general knowledge instead of the curriculum being taught. iLeaf grounds tutoring and marking assistance in your own material, with citations, and keeps teachers reviewing rather than replaced — the only version that gets adopted by the people who have to use it daily.
What this looks like in education
- Curriculum-grounded tutoring
- Answers drawn from your own material with citations, so they match what is actually assessed.
- Marking assistance
- First-pass feedback drafted for a teacher to review and adjust, not issued autonomously.
- Early-warning models
- Engagement signals surfacing learners at risk while intervention still helps — the basis of our US dropout work.
- Administrative load
- Enrolment queries, reminders and document chasing taken off teaching staff.
Questions we get asked
Will students get wrong answers?
Grounding in your curriculum with required citations makes that far less likely, and the system declines rather than inventing when it has no source. It should be positioned as a study aid a teacher oversees, never as an unsupervised authority.
How do teachers stay in control?
AI drafts and flags; educators decide and can always override. Teachers see what the system based a suggestion on, which is both better pedagogy and the difference between adoption and quiet abandonment.
AI & Agents for education— let’s talk.
Tell us what you are running and what it needs to do next. We will tell you honestly whether we are the right team for it.