Mastry AI is an adaptive learning platform that maps exactly what a student knows, pinpoints the prerequisite gap holding them back, and builds a personalised path to close it — starting with Class 10 & 12 mathematics.
Traditional learning moves forward on a schedule, not on readiness — so small gaps compound silently until a subject feels "impossible."
One pace, one path, for every student — regardless of what they already know or where they're actually stuck.
Poor teacher-to-student ratios and language barriers limit how much individual attention a student can realistically get.
A single missing concept from months ago can quietly block mastery of everything built on top of it.
Every topic is broken into subtopics with explicit prerequisite relationships, built using Knowledge Space Theory (Doignon & Falmagne). Instead of guessing, Mastry AI diagnoses exactly where a student's knowledge state sits on that graph.
The result: a sequence of lessons ordered by "marks-per-hour" — the fastest route from where a student is today to visible score improvement.
A chapter-wise diagnostic estimates mastery per topic, then the engine sequences lessons by expected score gain per hour of study.
A fast, chapter-wise read on exactly where a student stands.
The full learning loop — diagnose, learn, practice, re-check.
The prerequisite graph and authoring framework as a foundation for any subject.
A short, chapter-wise adaptive test locates the student on the prerequisite graph.
The engine surfaces the specific prerequisite concept that's blocking progress — not just a weak topic.
Lessons are ordered by marks-per-hour, so study time goes to the highest-impact concept first.
Step-by-step marking, inline hints, and doubt-clearing confirm the gap is actually closed.
Mastry AI turns a single diagnostic into a clear, personalised path — for Class 10 and 12 students today, and any subject tomorrow.