MindTrace builds an Academic Twin — a live model of how each student actually thinks. It detects misconceptions the moment they appear, prescribes targeted recovery, and predicts exam readiness with evidence, not guesswork.
A closed loop from evidence to recovery — designed to make improvement measurable.
Drop in a test paper, mock, or practice set — MindTrace parses every question.
The engine detects misconceptions and error patterns at the step level.
Your live learner model refines with every attempt, timed test, and mock.
Targeted practice, worked solutions, and re-tests to lock in mastery.
Every feature exists to move one number: how many marks a student actually recovers.
Not 'weak in algebra' — the exact misconception, at the exact step, in the exact question type.
Every question is chosen to fix a specific gap. No filler, no random drilling.
A live model of how the student thinks — updated with each attempt, always current.
Evidence-based score prediction with confidence bands — not vibes.
Simple, non-technical updates so parents actually understand progress.
Class-level misconception clusters and students at risk — before the next test.
Pulled from a real SAT Math attempt. Every card is generated by the diagnostic engine.
The student consistently drops sign when squaring both sides of an equation with a negative root. The misconception surfaces in 3 of the last 4 nonlinear questions attempted.
The difference between generic practice and evidence-based recovery.
Real feedback from the MindTrace community.
"In three weeks my SAT Math jumped 90 points. It was the first time practice felt like it actually knew what I was getting wrong."
"Finally I can see whether my daughter is actually improving — not just how much time she spent. The Academic Twin is a game-changer."
"MindTrace surfaces misconception clusters across the class before the next assessment. It's changed how I plan revision lessons."