Indian AI startups cross $1 billion in funding in H1 2026, Sarvam leads

Indian AI startups raised more than $1 billion in funding during the first half of 2026, marking a 33 per cent increase over the $802 million raised in the same period last year.

The number of funding deals also climbed sharply, rising to 157 in the first half of this year from 112 in the same period of 2025, according to industry tracking data.

Sarvam AI led the funding activity with a $234 million round, backed by investors including HCLTech, Bessemer, Khosla Ventures and Peak XV Partners.

Freehand, a startup building AI agents for enterprise supply-chain spend management, raised $75 million, while smaller AI-focused startups including Pinegap, Superleap, Kily, Hulp, Consint.AI, Profound and NYAI also attracted capital during the period.

For the full year to date, Indian AI companies have raised a combined $1.34 billion in equity funding across 66 rounds, according to industry data.

Investors said the shift in funding patterns reflects a broader move away from thin, application-layer AI products and toward frontier technology, including sovereign language models, compute infrastructure and coding agents.

Industry analysts said the funding surge positions India as an increasingly significant player in the global AI investment landscape, though questions remain over whether current funding levels are sufficient to compete with better-capitalised markets internationally.

The rise in deal count alongside overall funding volume suggests investor interest has broadened beyond a handful of marquee companies to a wider base of early and growth-stage AI startups.

Sarvam AI, the largest recipient of funding in the first half, has focused on building sovereign large language models tailored to Indian languages, a segment investors have flagged as strategically important for the domestic market.

The broader funding total for 2026 stands at $1.34 billion across 66 rounds through the year so far, spanning companies working on everything from language models to enterprise automation tools.

Photo by Wangkanai, Wikimedia Commons, CC BY-SA 4.0