Arivihan Raises $10M to Take AI-Powered Tutoring Beyond India’s Metros

For millions of students outside India’s largest cities, personalised tutoring can be difficult to find—or too expensive to sustain. Indore-based edtech startup Arivihan is betting that artificial intelligence can help close that gap. The company has raised $10 million in a Series A round to expand its AI-led learning platform into more states and strengthen its local-language capabilities.

The funding is also a vote of confidence in a more focused phase for Indian edtech: one where companies must show how technology can improve learning and reach underserved learners, rather than simply grow their user counts.

Funding to widen reach and deepen the product

Existing investors Accel and Prosus Ventures co-led the Series A, with an additional $200,000 coming from existing GSF angel investors. The round takes Arivihan’s total funding to more than $15 million, according to the company. It previously raised a $4.17 million pre-Series A round in July 2025.

Arivihan plans to use the capital to enter additional states, expand its offering for students following the Central Board of Secondary Education (CBSE) curriculum, and invest in AI research and vernacular-language features. The company also intends to increase digital marketing and on-ground distribution—an acknowledgement that reaching students in smaller cities requires more than building an app.

Its immediate expansion plans include deepening its presence in Madhya Pradesh, Uttar Pradesh, Rajasthan and Bihar, while adding new states and growing its CBSE offering.

A tutoring model built around automation

Founded in 2022 by IIT Roorkee alumni Ritesh Singh Chandel and Sonu Kumar, alongside maths educator Rushabh Kothari, Arivihan describes its product as a fully automated tutoring platform. It combines interactive video lessons with instant doubt-solving and AI-generated study plans that adapt to a student’s performance.

That approach differs from coaching models that rely heavily on live, one-to-one instruction. Arivihan aims to automate much of the learning support while giving students a more individualised path through their studies. Its platform serves State Board, CBSE and NEET learners, with a focus on Class 12 students in Tier II and Tier III cities and rural areas.

The company says 80% of its subscribers come from Tier III cities and rural India. That figure points to the audience it is targeting, but it does not by itself show how much the platform improves learning outcomes. As the business scales, evidence on student progress, course completion and sustained engagement will be important measures of whether AI-led personalisation is delivering on its promise.

Localisation is central to the growth strategy

For students outside major urban centres, access is shaped by more than connectivity. Language, curriculum, affordability and familiarity with digital learning tools can all influence whether a platform fits into a student’s life. Arivihan’s planned investment in vernacular capabilities and state-level expansion addresses some of those practical challenges.

Co-founder and CEO Chandel has said the company wants to move beyond offering cheaper digital content and make a personalised learning system affordable. That distinction matters: low-cost videos may widen access to information, but tutoring also involves diagnosing gaps, answering questions and helping learners decide what to study next.

Making that support work at scale is a substantial product challenge. AI systems need to respond accurately to student questions, account for differences in syllabi and provide guidance that is useful across languages and learning levels. Strong distribution can bring learners onto a platform; trust and educational quality will determine whether they stay.

Investor interest meets a more selective market

The deal arrives amid a funding environment that the source report describes as far more selective than the pandemic-era edtech boom. Tracxn data cited in the report puts sector equity funding at about $4.3 billion in 2021, compared with $214 million in the first eight months of 2026. Over that later period, the median round size was reported at $1.1 million.

Other recent deals cited include Elevate Education, formerly Sunstone, which raised Rs 170 crore from WestBridge Capital in July to strengthen its technology and AI capabilities, and Bengaluru-based Lytmus AI, which raised nearly Rs 5 crore in June to expand its AI-powered NEET preparation platform and personalised AI mentors.

In that context, Arivihan’s round suggests investors remain interested in education companies with a defined learner segment and a clear technology-led proposition. Prosus investor Dhruv Gupta said the company is demonstrating that AI can deliver individualised learning at mass-market price points. Accel investor Anagh Prasad similarly described AI tutoring as a potential way to bring personalised coaching to grassroots communities.

India’s AI-in-education ambitions raise the stakes

Arivihan’s plans also sit within a broader policy push to explore AI in education. The source report points to the Ministry of Education’s Bodhan AI Centre of Excellence and work on a Bharat EduAI Stack, intended as an open, interoperable architecture for AI-enabled learning systems. It also cites CBSE’s computational-thinking and AI curriculum for Classes III to VIII for the 2026–27 academic year, as well as a Centre of Excellence in AI for Education at IIT Madras.

These initiatives could help build awareness and infrastructure for AI in schools, but policy ambition alone does not guarantee effective classroom use. The impact will depend on implementation, teacher support, student access and careful attention to the accuracy and appropriateness of AI-generated guidance.

The real test is learning, not just scale

Arivihan’s $10 million raise gives the startup room to expand its reach and develop a more localised product. Its focus on smaller cities and rural learners puts an important question at the centre of the AI-in-education conversation: can technology make high-quality, responsive support accessible to students who have traditionally had fewer choices?

The answer will depend on what happens after the funding announcement. Growth across states, languages and boards will test the platform’s ability to remain relevant and reliable for different learners. For students and educators, the measure of success will not be how much AI a product uses, but whether it helps more learners understand, persist and progress.