MeitY Unveils AI Impact Startup Book at India AI Impact Summit 2026
MeitY unveils the AI Impact Startup Book at India AI Impact Summit 2026, spotlighting 100 Indian AI startups and scalable use cases across key sectors.

By Indrani Priyadarshini

on February 19, 2026

The Ministry of Electronics and Information Technology (MeitY) has launched the AI Impact Startup Book at the India AI Impact Summit 2026, offering a comprehensive look at India’s rapidly evolving artificial intelligence and deep-tech startup ecosystem.

The compendium brings together insights from a wide cross-section of AI startups, mapping the scale, sectoral diversity and increasing global reach of innovation being developed in India. It captures how Indian startups are moving beyond experimentation to build deployable, real-world AI solutions across critical domains.

According to the study, healthcare continues to remain a strong centre of AI innovation. At the same time, newer areas such as foundation models, data platforms, and waste-tech are gaining momentum. The report also highlights the rise of voice- and vision-based AI applications designed for India’s linguistic and operational realities, alongside the growing participation of startups from non-metro regions. Government partnerships, the study notes, are playing an important role in enabling both deployment and scale.

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The publication further points to the emergence of indigenous AI infrastructure, closer integration of edge AI with hardware, and a growing number of startups transitioning from early impact pilots to global market expansion. Speaking at the launch, Abhishek Singh, IAS, Additional Secretary at MeitY, Director General of the National Informatics Centre, and CEO of IndiaAI, stressed that infrastructure alone will not define India’s AI success.

While investments in data centres, datasets and foundation models are essential, he said, the real test lies in how effectively AI improves access to services and delivers measurable outcomes for citizens—particularly in healthcare, agriculture, education and employment. He noted that many Indian startups are already working in these areas, but scaling their solutions across public systems requires a more structured approach.

Explaining the intent behind the book, Singh said it serves as a first-of-its-kind national repository of AI solutions developed in India. The aim is to help ministries, state governments and institutions evaluate the maturity and on-ground performance of these technologies, and adopt them for population-scale deployment.

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He cited language-enabled agricultural advisory platforms as an example of how AI can extend last-mile access across India’s diverse linguistic landscape, provided richer datasets and coordinated implementation efforts are put in place. Looking ahead, he underlined that the next phase of India’s AI journey will depend on systematically connecting solution providers with implementing agencies and moving decisively from pilots to widespread adoption.

“If India is to become the use-case capital of the world, we must scale what already works,” Singh said. “This book lists 100 solutions. If, over the next 12 to 18 months, even 10 of them are scaled meaningfully, it would mark a significant step forward.”

Also addressing the gathering, Sushant Kumar, Founder and CEO of Kalpa Impact, shared key observations drawn from the study. He pointed to the continued strength of health-focused AI, alongside a growing breadth of innovation around foundation models and databases.

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Nearly 47 per cent of early-stage ventures, he noted, currently have a local presence, while close to 68 per cent of growth-stage startups are already operating internationally. “India is building foundation models. India is building infrastructure. And increasingly, we are seeing strong edge innovation,” Kumar said, inviting stakeholders to engage with the insights presented in the book.

The launch of the AI Impact Startup Book reflects the growing maturity of India’s AI startup ecosystem—one that is steadily evolving from early-stage experimentation to globally competitive innovation. Supported by enabling policies, digital public infrastructure and expanding international linkages, Indian AI startups are now positioning themselves for impact at scale.

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