India AI funding hits second gear

The AI hype cycle is entering its “show me the money” phase, with Indian startups increasingly bringing revenue and global demand to the table—and investors bringing bigger cheques.

The money moves: AI is no longer just getting attention from investors; it is taking a bigger bite of the funding pie.

• AI startups have raised $1.56 billion across 206 deals through August 20, already close to the $1.71 billion raised in all of 2025, as per Venture Intelligence data.
• AI is taking a bigger bite of the VC pie: its share of deal value has risen to 23% from 15% last year, while its share of deal volume has climbed to 32.4% from 24.7%.

That bigger appetite is showing up in bigger rounds. We were first to report Sarvam AI and Emergent’s $200-250 million funding talks; both have since raised sizeable rounds, while others like Neysa have also closed large fundraises.

• The pipeline is getting bigger too: Ema, mstack AI, Simplismart and UnifyApps are now seeking $50-80 million, as we reported earlier.

Pilots meet P&L: The pitch is changing too: investors now want proof that AI can make money, not just make an impression.

“AI revenue is growing, adoption is increasing, models are getting better and new capabilities are being unlocked,” Elevation Capital’s Krishna Mehra told us, pointing to the loop now powering funding momentum.

Gaja Capital’s Gopal Jain says enterprises have also moved from experimenting with AI to budgeting for it, giving investors revenue and order-book evidence to underwrite bigger bets,

• The commercial proof, investors say, is also pulling experienced founders into the market, creating a virtuous cycle of talent, traction and capital.

Everyone wants in: When the product starts selling, the investor queue gets longer.

“It’s not just the new AI-focused funds. Every VC and growth equity fund is investing in AI today,” InfoEdge Ventures’ Rishabh Katiyar told us.

Funds are moving teams and resources towards AI, intensifying the fight for promising startups at both the early and growth stages.

The scramble is not limited to headline names: as we reported earlier, smaller firms including Deccan AI, Rio AI, AI se, Sing One Song and BaseThesis Labs are also in talks to raise fresh capital.

India gets noticed: The local funding rush is now drawing a global second look—with some investors arguing India’s AI opportunity is still badly mispriced.

“India deeptech and AI is probably the most mispriced asset class in the world right now,” London-based Crane Venture Partners’ Scott Sage told us.

The appeal is less about India being cheap and more about capital efficiency: startups can potentially build very large outcomes without Silicon Valley-sized funding.

• Crane is putting that thesis to work, with 75-80% of its $150 million APAC fund expected to go to India, potentially directing $100-120 million into Indian startups.

The flywheel turns: If bigger cheques bring bigger outcomes, India’s AI market could be entering a rather interesting feedback loop.

• Indian founders are increasingly building AI-native products for global markets, rather than simply adapting proven overseas models.
• Better models and lower deployment costs are making it easier to turn early traction into scalable businesses—and scalable businesses into larger funding rounds.

If revenue keeps validating the technology, today’s bigger cheques could become tomorrow’s proof that India’s AI funding cycle has staying power.

Author: Adisri Infra Desk