Not a chatbot. A tutor that remembers.
Four things are happening behind every session — none of them visible in a normal chat window.
Starts with a real diagnostic
Before it teaches anything, it finds out what a student actually knows — not what their grade level assumes they should know. No two students start in the same place.
Explains it the way that student learns
If a student loves cricket, projectile motion gets explained through a six over long-on, not an abstract diagram. The concept doesn’t change — the path to understanding it does.
Tracks every concept, not just every subject
Accuracy is measured at the level of “quadratic equations,” not “Mathematics.” A student can be strong in one chapter and shaky in the next — the tutor treats them differently.
Brings a parent into the loop
What’s solid, what’s shaky, and what hasn’t been touched in a while is visible — not buried in a report card once a term.
What your child's AI tutor actually does
Not a feature list — this is what's running behind every session.
Ask anything.
Get taught, not just answered.
Zero waiting.
Study whenever a doubt comes up.
Every subject. One AI tutor.
Guru
Never lets a weak topic hide.
Every topic fades without practice — brought back before it does.
English today. More on the way.
English today. Hindi, Tamil, Telugu, Bengali & more — soon.
Quality education shouldn’t depend on whether a student speaks English at home. Regional language support is the next milestone on our roadmap.
This isn’t a new idea. It’s an old one, made possible at scale.
In 1984, educational psychologist Benjamin Bloom found that students who received 1:1 tutoring performed better than 98% of students in a conventional classroom — a gap so large he called it “the 2 sigma problem.” The limiting factor was never whether individual attention worked. It was that no school could afford a personal tutor for every child. An AI tutor doesn’t replace that finding — it’s an attempt to make it affordable for every student, not just the few who could pay for private tuition.
Built to be visible to parents, not just the student.
The same mastery map the tutor uses to decide what to teach next is what a parent gets to see — which topics are solid, which are shaky, and what’s coming up before the next exam. No separate app to configure, no waiting for a term report to find out something was missed.
See a real diagnostic-to-mastery loop, not a description of one
Every pillar above, in one actual lesson — try it yourself, no signup needed.
Questions about how it works
Isn’t this just ChatGPT with extra steps?
A general chatbot answers whatever you type and forgets you the moment the chat closes. CogniGuru’s tutor is built to teach specifically — it diagnoses first, tracks mastery per concept across sessions, and deliberately re-surfaces topics before they’re forgotten. That memory and structure is the actual product, not the chat interface.
Does this replace a school teacher or a tuition class?
No — it’s built to sit alongside both. A classroom teacher can’t pause for one student’s specific confusion for ten minutes; a tuition batch moves at one shared pace. The AI tutor is where a student gets that individual attention in between.
How does it know a student’s “learning style”?
From what a student tells it and how they respond — interests they mention, examples that land versus ones that don’t, and where they ask follow-up questions. It refines this over time rather than assuming it from a one-time quiz.
Is any of this independently proven?
The underlying principle — that individual, adaptive attention produces dramatically better learning outcomes than one-pace group instruction — is long-established education research (Bloom, 1984). CogniGuru is a new product built on that principle; we’re not yet claiming our own completed outcome studies, and we won’t until we have them.
See it work for your own child.
Join the beta program for free.
Curious what the science-backed classroom side looks like too? See AI Lab by CogniGuru.