Indian AI startups are moving beyond chatbots to develop infrastructure, datasets, and specialised applications, fuelled by a surge in funding , signalling a new phase for the country’s AI landscape.
India’s artificial intelligence sector is moving into a new phase, with founders focusing less on building another general-purpose chatbot and more on the infrastructure, datasets and applications that make AI useful in the real world. That shift comes as funding continues to build. Inc42 said Indian AI startups raised $676 mn in the first half of 2026, while other industry reports pointed to a broader surge in capital flowing into sovereign models, enterprise AI and deep-tech ventures.
The change is visible in the latest group of startups highlighted by Inc42, which includes companies working on physical-world data, AI-led film production, enterprise analytics, neurological diagnostics and extracurricular learning. Together, they suggest that India’s next AI advantage may come from specialist systems designed for local languages, local markets and hard-to-replicate proprietary data.
One of the most striking examples is Clairva, which is building datasets for what AI sees and does in the physical world. Founded in 2025, the company converts video into structured behavioural signals that can be used to train and evaluate models for robotics, multimodal AI and embodied AI. It is focused on underserved regions such as India, South-East Asia and the broader Global South, and recently raised $500,000 in pre-seed funding led by Venture Catalysts. That bet sits alongside a wider market opportunity: the training dataset and embodied AI sectors are expected to grow sharply over the next decade.
Coreworks is aiming at a more familiar workplace frustration. The startup builds software that links directly to a company’s data and turns it into presentation-ready reports with traceable figures, so users can see exactly where each metric came from. Founded in 2025, it is pitching itself to founders, marketers and analysts who spend too much time assembling decks by hand and then defending the numbers in meetings. The company is targeting India’s fast-growing augmented analytics market.
eNLife Research is taking AI into healthcare, where early detection can make a major difference. The research organisation combines biomarker work with AI analytics to identify neurodegenerative disease risk earlier than conventional diagnosis often allows. Founded in 2025, it says its approach combines blood-based and neuroimaging markers, population studies and personalised treatment protocols. The company is positioning itself around Alzheimer’s diagnostics, a market expected to expand in India as demand for earlier and more affordable screening grows.
Kalpnk is applying AI to filmmaking, where time and cost have long limited what smaller brands can produce. The studio says it uses AI throughout the creative process, from ideation and moodboards to animation, editing and sound, to produce commercials, reels and pitch materials more quickly than traditional workflows allow. Founded in 2025, it says it can deliver a finished commercial in about five days and cut both production time and cost substantially. The broader AI-generated video market is still relatively small but is gaining traction with advertisers and content makers.
UpKraft rounds out the group with a focus on structured extracurricular education. The startup is building AI-supported learning for music, dance and fitness, with level-based paths, tutor tools and real-time practice feedback. Founded in 2025, it is targeting schools, academies and families that want more consistency in out-of-class learning. Its approach reflects a larger trend in Indian AI: rather than chasing scale for its own sake, founders are building products around local pain points that can be sold both at home and abroad. Industry reports suggest investors are rewarding that shift, with sovereign models, enterprise use cases and India-specific data advantages drawing particular attention.
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