India readies $25 billion for AI, chip, and deep-tech startups
The government has committed $11 billion through its research fund, to be matched by venture and private-equity managers. The stated aim is less dependence on US and Chinese frontier technology.
India's $11 billion becomes $25 billion only if venture and private-equity managers put in the rest.
India is preparing about $25 billion for deep-tech startups, CNBC reported on September 29. Rajat Tandon, president of the Indian Venture and Alternative Capital Association, told CNBC the government has committed $11 billion through its Research, Development and Innovation (RDI) fund, to be matched by venture capital and private-equity fund managers, with another $3 to 4 billion on top.
AI and semiconductors head the list
The target sectors are artificial intelligence, semiconductors, advanced manufacturing, drones, and space technology. CNBC's sources describe the goal as cutting India's reliance on frontier technology from the US and China, which the government now treats as critical. Indian deep-tech startups raised close to $3 billion in all of 2025, per CNBC.
INR 2,170 crore invested so far, by one coalition's count
Separately, the India Deep Tech Alliance, a public-private coalition set up in September 2025, says its members invested about INR 2,170 crore across 56 companies in the year to August 31, 2026. Business Standard reported the figures, which are the alliance's own. The reports treat the government's $11 billion as committed and the private match as what fund managers will add, not money already raised.
Why a build studio cares
We are an India-based studio: our tariff has an INR toggle, and our DPDPA engineering audit is built around India's data protection law. Many startups funded from this pool will be building AI products on Indian users' data under DPDPA 2023 and the 2025 Rules from their first release. A fund meant to cut reliance on US models puts one architecture question near the top of their list early: which models and which compute can touch that personal data. We would want it answered in the first design review, before the first tranche is spent.
Next step: read CNBC's report on the fund. If you are an Indian startup building AI on personal data and want a DPDPA read on your architecture, write to us at hello@gattyworks.com.