Our Solution
Real math. Real work. Real insight.
KAIT by MathLab-AI was designed to fit seamlessly into how math is already taught and learned. Students solve problems using a smartpen and paper. Teachers teach as they always have. The difference is what happens next. Students move on to the individualized AI training online, where they build math capacity for success.
By capturing the full process of a student’s mathematical thinking and analyzing it with advanced AI, MathLab-AI transforms everyday classroom work into precise, actionable insight that drives individualized learning for every student.

Intervention When Needed
Math Lab-AI doesn't treat learning as a one-time event. Instead, it continuously adapts instruction through a cycle that reinforces motivation, confidence, and long-term growth.

Acceleration When Ready
When students demonstrate readiness to move ahead, KAIT responds immediately. Advanced learners are not held back by pacing constraints and can continue progressing without waiting for the next unit or assessment.

Spiral Review That Sticks
Math skills don’t disappear when a unit ends. KAIT intentionally revisits prior skills at strategic moments, reinforcing and connecting concepts over time. This spiral approach strengthens retention and builds durable understanding.

Built for Long-Term Success
By balancing support and challenge, KAIT builds confidence, competence, and sustained engagement in mathematics. Learning becomes durable — not temporary.

AI Analysis of Student Thinking
Beyond right or wrong
KAIT’s advanced AI algorithm analyzes uploaded student work using sophisticated machine learning models trained to recognize mathematical patterns, common misconceptions, and fluency gaps. Rather than assigning a single score, the system evaluates depth of learning, efficiency, consistency, and procedural accuracy, revealing where students are confident, challenged, or ready for more.
The result is a far more accurate picture of a student’s true mathematical ability.
Personalized AI Training
Our training engine adjusts dynamically as students work—every session generates individualized training based on:
- Unique recommendation logic is optimized for motivation
- Vertically aligned conceptual learning
- Supporting standard mastery through understanding, fluency, and ongoing re-leveling
