Buyer problem
The buyer needs credible evidence.
Math teachers need scalable support for practice, misconceptions, and confidence without turning tutoring into answer delivery.
Schools · QLM category creation
Schools need AI math tutoring that helps students think and helps teachers intervene.
Buyer problem
Math teachers need scalable support for practice, misconceptions, and confidence without turning tutoring into answer delivery.
Why traditional tools fail
Generic AI tutors can solve problems for students, while practice platforms often miss the reasoning behind wrong steps.
How QLM solves it
QLM uses Socratic prompts, calibrated hints, and misconception-aware traces so students keep doing the thinking.
Evidence captured
Schools can review hint use, misconception patterns, explanation quality, and improvement across a unit.
Pilot design
Run the tutor with one grade band and one math unit, then review teacher intervention patterns and student transcript evidence.
FAQ
Yes. Tutor evidence is designed to feed teacher review and intervention planning.
The intended mode is Socratic scaffolding, not answer replacement.
Next step
Use this path when you want a pilot, research partnership, or product walkthrough.
Try the math tutor →