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InfoEdge Allocates Half of Startup Bets to Deeptech, AI

InfoEdge allocated nearly 50% of its startup investments to deeptech and artificial intelligence over the past 12 months, deploying Rs 455 crore into 30 deeptech companies and Rs 614 crore into 28 AI companies since 2020. The firm's partner Chinmaya Sharma said AI and deeptech have become transformational for creating new business models and are of strategic interest for India.

read2 min views1 publishedJun 25, 2026
InfoEdge Allocates Half of Startup Bets to Deeptech, AI
Image: Letsdatascience (auto-discovered)

What happened

Mint reports that InfoEdge allocated nearly 50% of its startup investments to deeptech and artificial intelligence over the last 12 months. Mint reports that, since 2020, the firm has invested in 30 deeptech companies totalling Rs 455 crore and in 28 AI companies totalling Rs 614 crore. Mint reports that 13 of the deeptech portfolio companies and 15 of the AI companies have raised follow-on funding, with the AI cohort including voice-AI enterprise platform Gnani.ai. InfoEdge Ventures partner Chinmaya Sharma told Mint that AI and deeptech have become "absolutely transformational in their ability to create new business models" and are now topics of "strategic interest for the country," per Mint reporting.

Detailed portfolio numbers

  • •Mint reports 30 deeptech investments,Rs 455 crore deployed since 2020. - •Mint reports 28 AI investments,Rs 614 crore deployed since 2020. - •Mint reports 13 deeptech portfolio companies and15 AI companies have raised follow-on funding; Mint namesGnani.ai among the AI follow-ons.

Industry context

Editorial analysis: Venture allocations are an observable signal of where institutional capital is flowing. Increased deployment into deeptech and AI by established investors typically expands runway for startups building domain-specific models, hardware-software stacks, and industrial AI integrations. For practitioners, a steady rise in follow-on rounds, as Mint documents, usually correlates with a larger hiring and contracting market for ML engineers, data scientists, and applied researchers in that geography.

Broader significance

Editorial analysis: Reporting that a prominent Indian investor has shifted a large share of new bets toward deeptech and AI fits a global pattern of VCs reallocating from consumer-facing plays into infrastructure and applied AI since 2023. That pattern tends to accelerate ecosystem specialization, including the emergence of niche tooling, data partnerships, and engineering hubs around specific verticals such as enterprise voice AI or robotics.

What to watch

Editorial analysis: Observers should track the cadence and size of follow-on rounds, exits or IPOs from the named cohorts, and hiring trends at funded startups. Public disclosures from InfoEdge or portfolio companies and subsequent coverage in business press will clarify whether these allocations represent a sustained reallocation or a tactical increase in AI/deeptech exposure.

Scoring Rationale #

A significant capital allocation signal from a prominent Indian investor, with 50% of new bets going to AI and deeptech since 2020. Relevant to practitioners tracking VC flows and hiring opportunities in India's AI ecosystem, but impact is regional and the news is about investment strategy rather than a technical development.

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