Will India Finally Hit the Deep Tech Sweet Spot in 2026?
The India-AI Impact Summit in Feb 2026, will test if deep tech and AI deployment will finally move out of labs and into enterprises and factories.
Emerging technologies from quantum computing to space tech, because innovation never stops.
The India-AI Impact Summit in Feb 2026, will test if deep tech and AI deployment will finally move out of labs and into enterprises and factories.
Learning happens on factory floors and warehouse aisles, where machines repeat tasks, fail, recover, and try again.
Physical AI will not make a single breakthrough. Instead, it will be shaped by hardware limits, real-time control, and regional data advantages.
Bank of America’s Survey in October revealed that 54% of respondents believed AI-related assets were in a bubble territory.
“India’s semiconductor industry must accept that it cannot jump straight to advanced processors or AI chips.”
The bigger gap, he said, is the lack of strong research environments that let people return and continue their work.
KalArm offers 18 pre-defined grip patterns and six custom grips, with Bluetooth connectivity, firmware updates, and mobile app monitoring.
India’s deep tech landscape is resilient, with over 3,600 startups raising substantial capital despite fluctuations in global funding.
It is planning to invest around $40 billion in OpenAI through Vision Fund 2, with $10 billion completed and $30 billion expected to close in December.
Airbound’s extremely lightweight drones that look like aeroplanes aim to resolve deliveries even in smaller, remote locations.

He joked that every time he says Quantum, stock prices start rising. He followed, “Quantum, quantum, quantum.”
“The test is to distinguish between a good-to-have product and a must-have product.”
“We need policy and funding frameworks that allow failure, not punish it.”
With TSMC now at the trillion-dollar mark, the gap between the semiconductor giant and Taiwan’s next-tier chipmakers looks wider than ever.
The company confirmed that 2nm production (N2) will begin this quarter, with the N2P node and A16 process scheduled for 2026.
Instead of chasing novelty robots for homes and shops, SoftBank is now entering the industrial side of robotics.
“OSAT facilities are significantly less complex, less capital-intensive, and much faster to implement.”
MIGs bring isolation and efficiency, turning scarce GPUs into true multi-tenant resources.

With over 2 billion litres of water digitised daily across 15,000 locations, Kritsnam is reshaping how water is measured and managed.
Rising heat is stressing water resources, and thermal data can identify it a month before it becomes visible to the human eye.
For India to increase its share in the global space economy from 2-10% by 2033, private players need to take on more ambitious projects.
SkyServe is building onboard processing for satellites, shortening the time between capturing an image and turning it into usable insights.
From sensing to secure communications, Arindam Ghosh urged at Cypher 2025 that India cannot afford to be a consumer in the new quantum era.
“The issue is that India does not have a culture of spending money on academia…Our talent is not limited.”
CynLr plans to deploy robots in factories by year-end or early next year, alongside raising fresh funding.

While opinions vary on its potential, the initiative highlights the growing strategic importance of India in the global tech landscape.

The NIELIT has announced the upcoming launch of a digital platform to provide virtual labs and open-source chip design training.
20% of global semiconductor design talent comes from India.
After being acquired by GlobalFoundries, MIPS aims to target application-specific computing in robotics, autonomy, and more.
There are already 80 to 90 quantum entrepreneurs in the state, NS Boseraju told AIM.

Arrcus positions itself as a horizontal software layer that can run across different types of