For many years discussions about where venture capital was being directed in India focused on software and fintech. That situation has now changed. In the first quarter of 2026, startups in AI and machine learning secured $1.43 billion from 37 deals more than tripling the $414.4 million raised in 24 deals the previous quarter, according to DealStreetAsia’s Q1 2026 India Deal Review. Artificial intelligence didn’t just see growth; it became the most funded category of startup in the country.
The fact that this change is significant is because it is taking place within a general atmosphere of caution in Indian venture capital.
The Wider Funding Picture
In the first quarter of 2026, India’s startup ecosystem saw a total of $4.76 billion in funding through 350 deals, which represents a three-year high in the number of deals and a 30% increase compared to the previous quarter. However, this figure masks an important point: the number of megadeals (defined as funding rounds of $100 million or more) decreased, falling from seven in the fourth quarter of 2025 to four in the first quarter of 2026. Although the total amount of capital invested rose, investors are now making fewer of the very large payments.
Software, financial services, and transportation together made up 57% of the total funding yet it is the rate at which AI is growing, not its total amount, that is particularly noteworthy. The software sector attracted $1.62 billion from 53 deals alone, and a significant portion of that funding applies to companies that are native to AI, causing the two categories to become increasingly difficult to distinguish.
What’s Actually Driving the AI Money
The biggest AI funding round of the quarter was achieved by Neysa, which raised $1.2 billion a sum so large that it makes up the majority of the industry’s quarterly total on its own. Underlying that major transaction was a series of smaller AI fundraising events which tell the more interesting story: Mozark raised $40 million, Deccan AI secured $25 million, Constelli obtained $20 million, and Liquidnitro Games raised $19.1 million, covering applications ranging from enterprise AI to gaming.
The fact that investors are making a large number of bets on AI together with a broad range of smaller ones indicates that they are not simply chasing hype. An independent survey of investor sentiment showed that although 48% of investors consider AI to be the most investment-ready sector at the moment, less than 10% are willing to pay premium valuations for it. To put it simply, money is going to AI but in a more disciplined manner than during the funding spike of 2021.
Why This Is Different From Past AI Hype Cycles
Previously, India’s waves of investment in technology had tended to follow global trends with a delay and had been mainly motivated by involvement in the consumer internet and fintech sectors in order to achieve scale. The present wave in AI is different in three respects.
First of all, it focuses on infrastructure and enterprise applications rather than on consumer apps companies such as Deccan AI and Constelli are developing tools and services for other businesses, not aiming for widespread consumer adoption.
Second, it is occurring even though the general level of risk that investors are willing to take has decreased. Because of geopolitical instability, such as the crisis in West Asia which is affecting most investor portfolios, capital has moved towards more familiar, domestic investments and AI has become one of the few areas that investors are still prepared to support aggressively even in the face of this caution.
Third, the valuations are remaining fairly stable. The fact that investors who believe in the sector are still unwilling to pay high multiples suggests that the market is more mature and more selective than had been the case during India’s earlier funding booms.
What It Means for Founders and Investors
The point for those who are developing AI products is complex: although funding is truly on offer, investors are being cautious when it comes to pricing their rounds and are focusing on the solid business fundamentals rather than simply giving money based on the story. Companies involved in enterprise and infrastructure areas those which address a specific and verifiable business problem seem to be in a better position to secure financing than general consumer-AI concepts which don’t have a clear route to revenue.
For investors the evidence shows that AI is no longer only a speculative addition to an investment portfolio in India; it is now becoming a fundamental part of it. The issue for the remainder of 2026 will be whether the present level of discipline is maintained or whether the increasing competition on the part of venture capitalists for the best AI deals eventually causes valuations to rise again.
In either case, the change is already apparent from the figures: a sector which a few years ago went completely unnoticed is now the one that comes up in every discussion among investors in the Indian venture capital field.
Each week, The Prime Brief tracks trends in startup and AI funding in India. For this week’s funding deals, read our latest roundup.
