How India’s Deep Tech Investors are Exiting Smart

“Where’s the exit?” For years, venture capitalists investing in India’s deep-tech ecosystem have had to answer this tricky question from their limited partners. 

Billion-dollar deals like Flipkart and Paytm in consumer-tech or fintech once provided investors with a straightforward liquidity narrative. But deep-tech startups, from AI infrastructure to semiconductor IP and robotics, have traditionally offered longer, riskier timelines with uncertain payoffs.

The Evolution

Flipkart’s $16 billion acquisition by Walmart in 2018 was a watershed moment for India’s venture capital ecosystem. It proved, as Brijesh Damodaran, managing partner at Auxano Capital, noted, that “India can deliver multi-billion-dollar outcomes and global strategics will pay real money for market access.”

But Damodaran was quick to point out that the post-Flipkart era has evolved dramatically. “Earlier, exits were binary, either hold forever or hope for an M&A event. Today, exits are more modular,” he claimed. 

“We’re seeing cleaner secondary markets where growth investors or PE funds are buying out early VCs even before IPO. Also, more strategic acquisitions in AI, connectivity, and SaaS are being noticed,” he added. 

Modularity is reshaping venture capital behaviour in deep-tech. The emergence of secondary markets and structured exits means that funds no longer need to wait for a public listing or a mega-acquisition to return capital. Instead, they can monetise stakes in promising companies earlier, and reinvest faster into frontier technologies such as generative AI, semiconductors, and applied robotics.

Deep-Tech Meets Demand

One example of a viable deep-tech exit is Inflexor Ventures’ backing of Steradian Semiconductors, a fabless radar chip design company acquired by Japan’s Renesas Electronics in 2022.

“Renesas was already their customer,” recalled Murali Krishna Gunturu, founding member and partner at Inflexor Ventures. “They were trying out their products. That was the thesis, that the exit will come from one of these chip companies that will buy their product.”

The investment was never about retail chip sales. “It was always a licensing play,” said Gunturu. 

The exit came within just two and a half years, far ahead of the expected five-year horizon. For Inflexor, this validated a thesis that deep-tech exits in India do not need to depend on IPOs. Instead, customer-driven acquisitions, where a buyer already uses and validates the technology, are becoming the new template.

But Gunturu added a cautionary note: “Autonomous driving, the segment Steradian served, still faces adoption risks. Technology obsolescence and fab dependency remain major variables.”

Still, Steradian’s acquisition marked one of India’s first major semiconductor exits, a sign that deep-tech startups with proven IP, customer traction, and international relevance can create meaningful outcomes.

Waiting for the Right Moment

In the AI sector, exits are more elusive, but equally instructive. Vishnu Das, principal at Celesta Capital, admitted candidly, “We haven’t had an exit in AI yet. We did have the opportunity to exit a GenAI company a few years ago, but we chose not to.”

For Das, timing and thesis validation matter more than market hype. “The key questions are: Did your thesis play out? Have your return expectations been met?” he said. “What’s important is that you don’t get FOMO (fear of missing out), you don’t get greedy, you accept that you went in looking for a return, and once achieved, it’s time to pass the baton.”

Das pointed to India’s bullish capital markets as a new enabler. “Over the last five years, you have now an extremely buoyant public market,” he noted. “Startups that are a little later stage can also exit our VCs and are seeing demand from late-stage PE funds or pre-IPO funds that can buy out existing stakes and take the company public.”

That dynamic has played out recently with startups like IdeaForge, which went public in 2023 after years of defence-tech incubation, and Tonbo Imaging, whose niche imaging IP has attracted strategic suitors globally. Both were initially considered “too deep-tech” for India’s capital markets.

A New Generation Emerges

The year 2024-25 has quietly produced a wave of notable liquidity events in India’s frontier technology ecosystem. Agara, a conversational AI company, was acquired by the cryptocurrency company Coinbase in a deal valued at $40 million. The exit gave early investors, such as Blume Ventures and RTP Global, one of India’s first full-cycle AI outcomes.

QNu Labs, India’s pioneer in quantum encryption, reportedly fielded multiple acquisition offers from global cybersecurity players before choosing to raise strategic capital instead.

Meanwhile, early investors in Uniphore, India’s largest AI-driven customer experience company, executed partial exits, delivering 15.5× returns for YourNest Venture Capital, a signal that patient capital in AI can indeed outperform market averages. 

Unicorn India Ventures (UIV), a venture fund specialising in deep technology, declared a partial exit from the neo-diagnostics company Sascan Meditech, achieving six times the return on its investment. UIV, which invested Rs 2 crore in Sascan through two funding rounds since 2020, still retains a significant stake.

Secondary Liquidity

Perhaps the most significant transformation isn’t the headline-grabbing exits, but the institutionalisation of secondaries.

Inflexor’s first fund, for example, was fully exited into a secondary vehicle led by HDFC AMC, giving investors early liquidity while allowing Inflexor to continue managing its deep-tech portfolio. “Some of these changes will enable the ecosystem to mature over the next five to 10 years,” said Gunturu. “VCs will be more amenable to take risks at an earlier stage of a deep-tech company because they now have extended lifecycles through secondary transactions.”

This secondary mechanism also derisks India’s deep-tech funds from the traditional 10-year VC fund structure, which is crucial, given that many hardware and AI infrastructure companies may take 12–15 years to reach scale, or exit readiness.

Yet, every investor interviewed emphasises a single truth: exits in AI and deep-tech are still inherently binary.

Damodaran cautioned that liquidity paths should be mapped before investing, whether it is a strategic acquisition, a structured secondary, or an eventual listing. “The key risks are regulatory exposure, R&D dependency, and tech obsolescence cycles. That’s why we prioritise capital-efficient founders who build defensible distribution and diversified revenue early.”

That mindset, one that balances technology ambition with financial realism, marks a maturing venture market. Investors are no longer chasing moonshots; they’re underwriting executable, multi-path exits that compound value across cycles.

The post How India’s Deep Tech Investors are Exiting Smart appeared first on Analytics India Magazine.

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