Founder & CEO, E-Valuate AI · Educator, Commerce Faculty
Built E-Valuate AI after 18+ years of teaching — and thousands of hours of manually checking answer sheets.
Most EdTech founders build products for classrooms they have read about. Abhijit Kadam built one for a classroom he spent nearly two decades working in.
As a Commerce faculty member and educator in Pune, Abhijit checked hundreds — sometimes thousands — of handwritten answer sheets every academic year. Unit tests, prelims, practicals, mock exams, descriptive papers across multiple batches. The process was the same every time: stack of papers, red pen, marking scheme, hours of work, and at the end of it, a result that gave students a number but rarely told them exactly where they went wrong.
The inconsistency problem was the one that bothered him most. On the twentieth paper of a three-hour checking session, the rubric you were applying was not quite the same as on the first. Not because of carelessness — but because sustained manual checking at scale is genuinely difficult to keep consistent. And every educator who has corrected a large batch knows this, even if it is rarely discussed openly.
"I had checked thousands of papers over the years. I knew the problem from the inside — not from a survey, not from user interviews. I had lived it. So when I started building, I knew exactly what mattered: the rubric had to be teacher-controlled, the feedback had to be specific, and the output had to be something a student could actually use."
— Abhijit Kadam, Founder, E-Valuate AIThe idea for E-Valuate took shape in 2025, when advances in OCR and AI vision models made it genuinely feasible to read and evaluate handwritten text at scale. Abhijit's insight was not "AI can do this" — plenty of people knew that. His insight was: the teacher must stay in control of the rubric, or the product will never be trusted in a real classroom.
That principle shaped every design decision. In E-Valuate, the AI does not decide how to mark a paper. It reads the answer, checks it against a teacher-approved rubric, and assigns marks according to rules the teacher has reviewed and approved. The teacher can edit the rubric before any exam goes live. The AI is fast and consistent — but the judgment stays with the educator.
The platform was built to work within India's actual classroom realities: no institutional scanner required, students can submit via a mobile app, and the per-page pricing (₹2/page) makes it accessible to individual coaching institute teachers, not just large institutions with IT budgets.
E-Valuate was deployed at Agrawal Classes in Pune — one of the first institutions to run real test series through the platform. The results confirmed the core hypothesis: teachers got consistent, detailed output without the hours of manual work, and students received specific per-question feedback that the manual process simply could not produce at scale.
E-Valuate is designed for Indian education institutions at every level:
The product does not require any special hardware, institutional IT setup, or scanner. A teacher with a phone and a question paper can run an exam and get results.
For support, partnerships, or institutional enquiries: support@evaluate-ai.app
To see the product in action before signing up: read how AI answer sheet checking works, or view a sample marked answer sheet.
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