Why Indian AI Founders Are Eyeing Silicon Valley And What They Risk Leaving Behind

Indian AI startups raised over $1.1 Bn in the first nine months of 2026, even as founders increasingly look towards the US for enterprise customers, capital and global expansion

As Anthropic prepares for its public market debut, the growing divide between capital-intensive AI model development and application-led innovation is reshaping opportunities for Indian startups

Suhas Motwani, cofounder of The Product Folks, believes the India–US corridor offers valuable access to customers and talent, but founders must be deliberate about what they build in each market

The company planned to deploy fresh capital towards expanding sales and marketing operations in the US, which already accounted for nearly two-thirds of its revenue. Yet most of its approximately 75-member workforce remained in India.

Reo.Dev is not alone in operating across these two markets. Bengaluru- and San Francisco-based Coreworks AI raised $5 Mn earlier this year to develop its enterprise AI platform. More recently, RapidCanvas secured $29 Mn to expand its go-to-market and field AI engineering teams across India, the US and Brazil.

These companies illustrate the increasingly international nature of India’s AI startup ecosystem, where the markets founders sell into, the teams they build and the locations from which they operate do not necessarily overlap.

According to Inc42’s Indian Tech Startup Funding Report, Q3 2026, Indian AI startups raised $438 Mn during the July–September quarter, a 265% year-on-year increase. With $676 Mn raised in the first half, cumulative funding for the first nine months of 2026 crossed $1.1 Bn.

As more startups pursue global AI opportunities, however, an important question is emerging. Does getting closer to Silicon Valley necessarily make an Indian AI startup more competitive?

For Suhas Motwani, cofounder of The Product Folks, a global community of product professionals and builders, the answer is more complicated than a change of address.

“The corridor is real, and for a lot of founders it is useful,” says Motwani. “The harder question is what gets built on each side of it, and what gets lost when the move happens too early.”

The attraction of Silicon Valley extends well beyond fundraising, which was the case even at the height of the Indian SaaS boom.

For AI startups, just like SaaS startups before them, proximity to potential enterprise customers, experienced operators, specialised talent and the wider AI ecosystem can shorten the distance between product development and commercial validation.

That matters particularly for startups building enterprise AI products, where customer discovery often requires understanding complex workflows, procurement processes, security requirements and the commercial value of automation.

As Inc42 previously explored in its analysis of enterprise AI sales, winning enterprise customers is no longer simply about demonstrating technical capabilities. Startups must identify decision-makers, prove measurable returns and navigate the operational risks associated with deploying AI in live business environments.

For companies whose largest potential customers are American enterprises, building those relationships from thousands of kilometres away can introduce additional challenges.