Placement before pacing
A learner starts where they actually are. That may be ahead of grade level, behind a hidden prerequisite, or returning to math as an adult.
Skill graph personalization
Personalized math learning should not mean random adaptive questions. Math Foundation personalizes the path with Trinity AI by placing each learner on a skill graph, repairing missing prerequisites, and unlocking the next skill only when mastery is proven.
Math Foundation combines Trinity AI, a structured skill graph, misconception diagnosis, mastery gates, spaced review, and dashboards so learners and schools can find and repair math gaps instead of practicing blindly.
A learner starts where they actually are. That may be ahead of grade level, behind a hidden prerequisite, or returning to math as an adult.
The graph connects early number sense, place value, fractions, ratios, algebra, geometry, and later math into one dependency map. That makes the next step explainable.
Progress is not based on finishing a page. A skill unlocks after the learner can answer, explain, and apply the idea on fresh questions.
It uses diagnostic placement, current skill frontier, misconception evidence, mastery gates, and spaced review to choose the next step.
No. The same skill-readiness model works for children, homeschool learners, adult returners, tutors, and school intervention groups.
Try the demo, compare paid plans, or start Foundation access through Stripe checkout. Schools can calculate and buy a discounted rollout path sized to one classroom, a grade team, or a full school.
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