Top Tech Startups in Karnataka, India in 2026

Skillcase is an innovative upskilling platform catering to millennials seeking to elevate themselves into seasoned professionals. At Skillcase, we drive Career Development Programs in specialized domains such as Data, Product, Business, and Design. Our core methodology revolves around "Learning by Doing." We provide learners with unparalleled access to projects and case studies sourced from the best in the tech and product industries. - Collaborate with Industry Leaders. - Tackle Real Problem Statements. - Nurturing the journey to seasoned professionalism. Our emphasis lies in cultivating a comprehensive learning environment, offering learners a holistic exposure to Product, Data, Business, and Marketing fundamentals, coupled with specialization in their chosen program. Furthermore, Skillcase Live Projects grant participants the opportunity to contribute to projects, evolving them to greater heights before passing them on to subsequent batches. Our mission is to empower learners to navigate the complexities of today's professional landscape with confidence and expertise.

Elfina is a mental health platform in India, and we are roughly 10% of the way into what we think this needs to become. So far, we have built a matching engine that profiles clients across 40+ variables and practitioners across 200+, pairing them on fit rather than on ratings — because a therapist who was life-changing for your friend can be entirely wrong for you. Around that, we have digitised the parts of the journey that decide whether therapy actually works: goal setting, structured check-ins, session notes and progress tracking. It has taken us to about 1,000 clients, 6,000 sessions and 45 practitioners, entirely organic. But it is a first version. Along the way, a few things have become clear. People don't leave therapy because therapy doesn't work; they leave because the first match was wrong, and roughly 80% of them never come back. The industry treats this as a discovery problem — here are 100 therapists, pick one — when the client isn't equipped to choose. Measurement-based care, standard practice internationally, is almost absent here, and that isn't something training fixes. Product is. The remaining 90% is what we are here to build. An AI copilot for practitioners — session insights, drafted notes, progress signals, risk flags — so the conversation in the room stays human while everything around it gets sharper. A triage layer that engages people before they've decided they want therapy at all, and helps them choose between therapy, psychiatry, coaching or self-help, rather than assuming therapy is the answer to everything. A context layer, so that someone moving between those services carries their history with them; today a psychiatrist and a psychologist treating the same person have no idea what the other is doing. And underneath all of it, a data engine that learns what works, for whom, and turns matching from an informed guess into a prediction. If you're looking for a domain where the hard problems are still unclaimed, this is one.

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