Zanaya is an AI math tutor that sees exactly where a student fell behind - at the level of an atomized skill - and builds the precise learning path to fill the gap. 20 problems, fully understood. Not 100, half-forgotten.
A caring parent gets the report card: a C in geometry. Now what? They don't know where the actual problem is. The kid doesn't know what to fix. The teacher has no time to diagnose 28 students individually.
My child is getting low grades. I'm a caring parent, but I can't figure out where exactly the problem is. Can you help?- a question we hear from parents daily
One teacher, one large classroom, one grade for everything. Personalized attention is impossible. Real gaps go undetected and accumulate over years.
They're chatbots that assume the student knows what to ask. But if the student knew, they wouldn't need a tutor. That's why nobody actually learns from them.
A good private math tutor in any major city is $20–60 an hour. Few families can afford four sessions a week. The rest go without proper support.
Not by watching videos. Not by chatting with a bot. By solving the right problems in the right order. That's what the market is missing today.
Zanaya diagnoses what a student knows on every problem. It analyzes every step of their handwritten work. It finds the precise skill that's missing. Then it gives the next right exercise.
K-7 math broken down into 700+ atomized skills. Each linked to its prerequisites. Each measurable. Each backed by thousands of practice exercises.
Students solve with pen and paper, on iPad, with a smart pen, or by typing. The AI reads every step, not just the final answer. Mistakes get caught where they actually happen.
When a gap is found, we route to the exact skill that caused it, even if it's from a previous grade. We patch the gap without losing progress on the current topic.
Every solved exercise updates the student's skill profile. We see what's mastered, what's forgotten, what needs review. Parents get a real picture, not just a grade.
A skill isn't mastered when a kid gets it once. It's mastered when they keep it. The system tests it again days and weeks later, ensuring durable knowledge, not crammed facts.
Defending skills as levels. Points, rewards, leaderboards. Progress is visible and earned. Kids don't learn because they have to, they learn because they want to.
Two views of the same model. On top, the full skill graph - 700+ atomized skills clustered by domain, layered by grade, cross-linked by prerequisite. Below, what diagnosis looks like in real time: the precise atom that broke under that linear equation, traced back through every prereq it depends on.
Note: the trees below are a simplified demo for illustration, not the live production tree. The real model holds 700+ skills with thousands of prerequisite edges.
Every skill knows what requires it and what follows from it. Cross-domain edges (dashed) connect skills that share underlying ideas - fractions to algebra, signs to inequalities.
A single mistake on a grade 7 linear equation cascades down. Zanaya finds the broken atom - integer addition - and traces every prereq the student needs to solidify before resuming. The route home, lit up.
We spent months manually testing every AI math app on the market. None of them solves the actual problem. Each one is a chatbot, a calculator, or a list of exercises. Zanaya is a different kind of product.
The three of us are international math and physics medalists, NASA Ames contest winners, and founders of businesses that already work. We're not a marketing agency building another AI chatbot. We're solving a problem we've faced every day for the last 5 years.
Designs the skills model that powers Zanaya - the framework that breaks mathematics into atomized skills and turns student work into measurable progress. Silver medalist at the International Experimental Physics Olympiad and First Prize winner at NASA Ames (UniSpace, 2018). Previously founded ACTIVE СМУТИ, a consumer brand sold across 350+ retail locations in Bulgaria.
Leads curriculum design and teacher training. BSc in Mathematics and Computer Science from FMI, Sofia University, and First Prize winner at NASA Ames (2018). Created MatheMagical Games, Bulgaria's first gamified math competition, and has personally taught 650+ students over five years - the foundation Zanaya's pedagogy is built on.
Builds the AI systems behind Zanaya's personalized learning paths. MSc in Artificial Intelligence at UCL and BSc in Mathematics at Warwick, with a deep-learning thesis on bird-song recognition acquired by a Brazilian research firm. Solo founder of JustCommit, a habit app with thousands of active users, and a two-time Kaggle silver medalist.
If you're a parent and you want your child to be among the first to use Zanaya, drop your email. We'll reach out before the public launch.