Five Indian AI startups—Clairva, Coreworks, eNLife Research, Kalpnk, and UpKraft—are tackling bottlenecks in AI deployment, moving beyond foundation models to build infrastructure, data, and applications. This shift reflects India's growing focus on creating a self-reliant AI ecosystem.
TL;DR
- Five Indian AI startups are addressing real-world AI deployment challenges, moving beyond foundation models.
- These startups are building infrastructure, data, and applications tailored to India-specific use cases.
- Indian AI startups raised $676 million in H1 2026, nearly four times the amount raised in the same period last year.
What happened
Inc42's eleventh edition of 'AI Startups To Watch' highlights five Indian startups—Clairva, Coreworks, eNLife Research, Kalpnk, and UpKraft—each focusing on different aspects of AI deployment. These startups are building solutions for physical-world data, cinematic AI, enterprise productivity, deeptech healthcare, and education.
Clairva converts real-world video into structured behavioural signals for AI training, targeting markets with thin AI training data. Coreworks automates business intelligence reporting, making data traceable and editable. eNLife Research combines biomarker research with AI for early detection of neurodegenerative diseases. Kalpnk uses AI workflows to create cinematic content quickly and cost-effectively. UpKraft provides structured extracurricular learning with AI-powered feedback and progress tracking.
Why it matters
These startups represent a shift in India's AI landscape, focusing on building infrastructure and applications that cater to local needs and can compete globally. This move is crucial as India's AI advantage may come from proprietary datasets, local-language capabilities, and domain-specific intelligence rather than just large language models.
The funding boom in India's AI sector, with $676 million raised in H1 2026, indicates strong investor interest. However, the deployment of capital in areas like data infrastructure, sovereign inference platforms, and AI tools tailored to Indian enterprises and consumers is a more telling signal of the sector's maturity.
Key facts
- Clairva raised $500,000 in pre-seed funding led by Venture Catalysts.
- Coreworks targets India's augmented analytics market, projected to reach $2.89 billion by 2035.
- eNLife Research aims for 95% accuracy in early detection of neurodegenerative diseases with a 24-hour turnaround.
- Kalpnk reduces commercial production time by 85% and costs by 70% using AI workflows.
- UpKraft targets the after-school and extracurricular program market, projected to reach $62.38 billion by 2033.
- The IndiaAI Mission has an outlay of roughly ₹10,300 Cr and is backing around 20 indigenous sovereign AI model proposals.
- Indian AI startups raised $676 million in the first half of 2026, nearly four times the amount raised in the same period last year.
Context
India's AI ambitions are evolving beyond building large language models to creating a self-reliant AI ecosystem. The government's IndiaAI Mission is supporting indigenous AI models and providing subsidized access to GPUs for startups, addressing key constraints like data and compute.
A new generation of AI founders is tackling problems that require deeper domain expertise, such as building data infrastructure for the physical world, sovereign inference platforms, and AI tools tailored to Indian enterprises and consumers. This shift is crucial for India's AI advantage, which may come from proprietary datasets, local-language capabilities, and domain-specific intelligence.