Bengaluru (Karnataka) [India], June 12: There is a Class 8 student in Bengaluru who came home one evening and spread a spreadsheet across the kitchen table. She had tracked her family’s household expenses — categorised, colour-coded, annotated. Her mother looked at it and didn’t know what to say. The maths was right. And then the daughter asked why they spent more on one line item than another. The mother didn’t have a good answer. This is what happens when school asks a child to do something real.
The problem with one size fits all
India’s education system has long treated students as a uniform intake — the same skills, the same pace, the same syllabus. The consequences are visible everywhere: disengagement, low motivation, and students arriving at the Grade 8 to 10 crossroads with almost no structured information about what they are genuinely suited for. Ulipsu’s data points to Grade 5 as the right moment to begin structured skill discovery — before stream-selection pressure arrives.
Kidvento Education and Research Pvt. Ltd., a Mysuru-based edtech company, has operated Ulipsu inside Indian schools for nine years. It runs as a scheduled subject from Class 1 through Class 10, with its own curriculum, assessments, and an evidence trail of what every child has done. Now, with AI and machine learning at its core, Ulipsu is turning nine years of student data into a personalised, evidence-backed portrait of who each child is — and where they are headed.
A curriculum built around how children think
The Ulipsu curriculum spans 20 domains — coding, AI, finance, design thinking, data science, communication, and more. Students complete a validated interest assessment grounded in the Holland Code framework to ensure a child naturally drawn to finance doesn’t end up in coding because it seemed like the safer bet. The platform also evaluates language proficiency, which shapes how efficiently a child processes instruction and builds confidence.
Skills are tracked across two dimensions: Elementary Skills and Domain-specific competencies. Every module follows the same arc — interactive learning, assessment, then a real project the student must build and submit. The three-year progression moves from discovery (Year 1) to real-world problem solving with tools (Year 2) to mastery with independent projects and career connections (Year 3). By Year 3 in Coding, students are no longer working in Scratch — they are in Google Colab, building machine learning models. The programme carries international accreditation from ISTE and STEM.org.
What the AI layer actually does
The platform’s AI engine answers a question that accumulated over nine years: what do you do with everything you know about a child? The interest assessment — covering 55 to 70 questions across grade bands from Grade 5 to 10 — maps interest areas, learning preferences, and behavioural patterns. From this, the system generates personalised skill pathways aligned to demonstrate interest and actual learning behaviour.
Progress is monitored through 1,000–1,200 annual touchpoints — assessments, projects, engagement patterns, and performance analytics. The result is what Ulipsu calls a Skill Intelligence Layer: a continuously updated portrait of what each student enjoys, excels at, and which future pathways suit them — built from four dimensions: interest trends, skill strengths, learning consistency, and domain mastery.
What 500 schools have on record
A Grade 3 student, eight years old, built a model to predict a coin toss — not by guessing, but by collecting historical data, identifying patterns, and training a model on it. A Grade 9 student in Mumbai forecasted ice cream sales based on atmospheric temperature. A Grade 8 student in Varanasi trained a supervised machine learning model to classify vehicles by colour, wheel count, and size. She knows exactly what that phrase means, because she built it herself.
In Khammam, a Class 7 student identified a design problem on her own street, prototyped a solution, and submitted it as a formally assessed deliverable. A Grade 6 student in Coimbatore came home and explained to his father what collision detection means. His father said: “I could see he had figured something out. That is what I want from school.”
The students who need this most.
The stakes are highest in Grades 8 through 10, when students make decisions about subject streams with very little structured information about what they are suited for. For students from first-generation learner households — where after-school enrichment doesn’t exist — the AI layer offers something more: a system that tells each student, with evidence, what their learning history says about who they are and what they should pursue. A Class 9 student in Moga, Punjab, who has been on the platform for three years, is now receiving career pathway recommendations built from everything the system has observed about her. She didn’t sign up for a demonstration. She just came to school.
Why the business is still standing when others are not
Kidvento’s customer was never the family making a discretionary purchase. It was the school — an institution with a budget cycle and a renewal decision made on the basis of visible, documented outcomes. When household budgets tightened elsewhere, Kidvento’s model held.
Kidvento enters FY 2026–27 as an EBITDA-positive business (company-reported), with 2.5x growth in school bookings, $6 million in total capital raised, and active deployments in Saudi Arabia and Qatar. The company reported Rs 9 crore in revenue for FY 2024–25, targeting Rs 20 crore for FY 2025–26 (company-reported). Africa and Southeast Asia are identified as the next expansion markets.
“We welcome CBSE’s decision to mandate Computational Thinking and AI across schools,” said Nikhil Bhaskar, co-founder. “For Ulipsu’s partner schools, this transition has been seamless, because we began implementing the vision of NEP and India’s national skilling agenda long before it became policy.”
According to UDISE+ data, India has approximately 1.5 million schools. Ulipsu is in 500 of them. The gap is large — but the foundation is real. Half a million students came to school, sat in a timetabled class, built something real, and came back the following week and did it again. The AI layer is now learning how to read what that foundation contains — and use it to tell each child something true about themselves.
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