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Startups

byteXL's $9 Million Round Puts AI Skilling Inside The College Timetable

The Hyderabad edtech startup founded by Karun and Sricharan Tadepalli is using fresh capital to expand from 40 to 120 engineering institutions.

MN
Meera Nair
Published October 12, 2026
byteXL's $9 Million Round Puts AI Skilling Inside The College Timetable
byteXL co-founders Sricharan and Karun Tadepalli are scaling a college-linked model for AI and technology skilling.

byteXL's new funding round is a founder story about where Indian edtech is trying to recover its relevance: inside the degree programme, not outside it. The Hyderabad-based company has raised $9 million in a round led by Elevar Equity, with Kalaari Capital and the Michael & Susan Dell Foundation also participating.

The company was founded by brothers Karun Tadepalli and Sricharan Tadepalli. Their model is deliberately different from the old consumer-edtech push that asked students to buy yet another course on top of college. byteXL works with engineering institutions, especially in tier II and tier III cities, to bring industry-oriented technology and AI learning into the regular academic journey.

That distinction matters. India's employability problem is not only that graduates lack access to content. It is that training, assessment, projects, faculty support and hiring signals often sit outside the timetable students actually follow. A college-linked model gives byteXL a chance to make skills visible inside semester structures, rather than treating them as a weekend add-on.

The company says the fresh capital will help expand its institutional network, strengthen AI-led learning tools, deepen academic delivery and develop new industry-aligned programmes. Its stated target is to grow from 40 institutions to 120 over the next two years, while expanding from about 200,000 students to 500,000 students across 15 states.

That is ambitious, but the timing is plausible. Engineering colleges are under pressure to prove that their graduates can work with AI, cloud, data and software tools before they enter the job market. Employers, meanwhile, are tightening entry-level hiring and looking harder at practical capability.

The risk is execution. AI-enabled learning can become a slogan if it does not produce better feedback, stronger projects and clearer student progression. Colleges may also resist change if programmes add administrative load without improving placements or faculty confidence.

For byteXL, the next phase will be judged less by the headline funding number than by what changes inside partner campuses. If the company can help smaller-city engineering students build credible portfolios, its impact could stretch beyond edtech metrics. It would become part of a larger shift in which AI skilling is not an elective product, but a basic layer of technical education.

Meera Nair reports for The Indian Daily Post on startups and policy.

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