Zanaya is an AI math tutor that diagnoses exactly where a student fell behind by analyzing every step of their handwritten work against a 700+ atomized skill tree. It builds a dynamic learning path that routes back to missing prerequisite skills, even from prior grades, and reinforces mastery through spaced repetition. The system is built from five years of teaching experience and is launching with a summer 2026 program for over 2,000 students.
Funding
Funding not disclosed
Founders
Product
Problem
A single grade on a report card tells parents and students nothing about where the actual learning gap is. Teachers lack the time to diagnose 28 students individually, while existing AI tutors are chatbots that assume students know what to ask, and private tutors cost $20–60 per hour, putting consistent support out of reach for most families.
Solution
Zanaya is an AI math tutor that diagnoses what a student knows on every problem by analyzing each step of their handwritten work—not just the final answer. It breaks K-7 math into 700+ atomized skills, each linked to prerequisites, and when a gap is detected, it routes the student to the exact missing skill, even if it's from a previous grade. The system then generates a dynamic learning plan that patches the gap without losing progress on the current topic, and every solved exercise updates a live skill profile. Spaced repetition ensures skills are tested days and weeks later for durable knowledge, while gamification—points, rewards, and leaderboards—keeps students motivated to learn.
Target Audience
Primary users are K-7 students who need personalized math support, and their parents who want a real picture of what their child knows beyond a single grade. The platform also serves teachers and tutors seeking a diagnostic tool that identifies and remediates specific skill gaps.
Features
- Atomized skill model: 700+ skills clustered by domain, layered by grade, and cross-linked by prerequisite edges
- Step-by-step handwriting analysis: reads pen, pencil, iPad, smart pen, or typed input to catch mistakes where they actually happen
- Dynamic learning path: routes back to the exact prerequisite skill that caused the gap, even from prior grades
- Live skill profile: every solved exercise updates a real-time profile showing mastered, forgotten, and review-needed skills
- Spaced repetition: tests skills days and weeks later to ensure durable knowledge, not crammed facts
- Gamified design: levels, points, rewards, and leaderboards make progress visible and earned