Vidyn.AI builds learning software that measures what a student actually knows — chapter by chapter, question by question — and turns that measurement into the next hour of work. Our first product, Target720, prepares Indian students for NEET.
20,568
Questions in the live corpus
88
NCERT chapters covered end to end
3
Subjects — physics, chemistry, biology
2
Platforms shipped — Android and iOS
Three commitments decide most of our engineering arguments before they start.
We use models where they earn their keep: tagging a question to the exact concept it tests, spotting the misconception behind a wrong answer, sequencing revision so it lands before the student forgets. Everything a model produces is checked before a student ever sees it.
Our syllabus is a versioned dataset, not a pile of PDFs. Chapters, modules, questions and past-paper appearances all round-trip through an import pipeline with parity checks, so a correction made once is correct everywhere — in the app, in the analytics, in tomorrow's revision plan.
We are a product company, not a research lab. What we build goes to students sitting a real exam with a real deadline, on the phones they actually own, on the networks they actually have. That constraint decides most of our engineering arguments for us.
A NEET preparation platform built around one number: the score a student can defend. Study the chapter, practise the questions the exam has actually asked, and see honestly which topics are ready and which are not.
At a glance
| Exam | NEET (UG), India |
|---|---|
| Subjects | Physics · Chemistry · Biology |
| Chapters | 88 |
| Practice questions | 20,568 |
| Past-paper coverage | Tagged by exam and year |
| Platforms | Android · iOS |
| Free to start | Yes — sample chapters open |
“A student's time is the scarcest thing we handle. Spend it where the marks are.”
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