In 2023, the International Energy Agency (IEA) estimated that data centres consumed around 1.5 % of the world’s total electricity. With the rapid growth of AI workloads, that figure is projected to double by 2030.
Beyond power, cooling these facilities demands enormous volumes of water, up to 500,000 litres per megawatt per day, according to Bloomberg. This escalating energy-water footprint is forcing a reckoning, and in turn, the AI revolution must become climate-aligned to sustain itself.
For India to develop its native AI infrastructure, reliable access to clean power and efficient cooling will be essential, said Ankur Shrivastava, founder and managing partner at Momentum Capital, a US-based micro-VC fund backing deep-tech and climate-AI ventures across India and the US.
That observation captures a larger shift in the global sustainability narrative, from virtue signalling to verifiable impact.
Green Consumerism to Climate Engineering
The early 2010s were dominated by visible forms of “green consumerism,” which introduced solar rooftops, EV scooters, and reusable packaging. Those trends built awareness, but only scratched the surface. The next wave of climate innovation is hidden beneath the hood, where AI, materials science, and bio-engineering are re-wiring the physical economy.
“Consumer-facing green products are excellent for creating sustainable demand and can be successful businesses,” said Shrivastava. However, he believes that the biggest lever for solving climate change will come from hard-to-abate industries, which need innovation to reduce emissions.
Creating defensible, venture-scale climate companies requires deep-tech solutions, advanced materials, biomanufacturing, alternative energy sources, industrial process optimisation, and material recycling, he added.
In other words, solving climate change isn’t about selling sustainability, it’s about engineering it.
Gap Between Research and Enterprise
But India’s scientific capacity alone won’t deliver climate impact. The country’s universities and national labs host world-class research in electrochemistry, bio-AI, and energy storage, yet only a fraction of that work makes it to the market.
“The academic mindset typically prizes papers over products. Universities’ opaque IP and spin-out policies delay commercialisation, and the ‘valley of death’ between prototype and pilot is expensive,” explained Brijesh Damodaran Nair, managing partner at Auxano Capital.
Auxano’s mission is to close that gap through stage-based seed capital and translational infrastructure. “A well-designed seed model can bridge this gap by providing patient funding, prototyping facilities, mentorship on business and regulatory matters, and reserved follow-on capital,” Nair said.
He argues that India’s deep scientific talent and cost advantages in early R&D position it to export climate IP, not just software. “To do this, startups must certify technology to global standards, protect IP with strong patents, and build trust through pilot deployments abroad. In niche verticals, Indian climate IP can evolve from ‘service out of India’ to ‘innovation out of India,’” he added.
Cross-Border Capital, Dual Impact
Shrivastava sees a gap in access to high-end GPUs despite a few startups being backed by initiatives like the India AI Mission and investments from AWS and Google Cloud, but also expects it to be “resolved soon”.
Momentum Capital is also witnessing a reverse brain drain of Indian-origin researchers returning from US universities and labs. “We often serve as brainstorming partners for these founders as they determine their next steps, and connect US-based founders with the Indian ecosystem to help them transition,” Shrivastava noted.
Cross-border micro VCs are effectively shaping capital flows into talent circulations, a necessary feedback loop for building global-class innovation from India.
Evaluating the Hard Science of Startups
Funding a deep-tech startup isn’t like backing a consumer app; prototypes often live in labs for years before reaching scale.
“Patents and scientific validation are necessary, but not sufficient,” said Shrivastava, adding that pivots are hard in deep-tech, which is why early customer validation is critical.
“We encourage founders to model unit economics at scale and engage real customers early. We also prioritise founding teams who complement their own skill gaps by hiring for regulatory and commercial expertise,” he said.
This balanced lens, scientific rigour, and market realism are shaping a new generation of Indian founders comfortable with both lab notebooks and business models.
For Seema Chaturvedi, founder and managing partner at AWE Funds, the next phase of climate AI must correct another imbalance: gender.
“Approximately 80 % of those impacted by climate change are women, yet less than 10 % of global climate finance is gendered. Such an imbalance exists because most data systems and AI models homogenise populations without gender disaggregation,” she said.
AWE Funds places gender-disaggregated and intersectional data at the core of its sustainability thesis. “By incorporating these dimensions, AI can disclose the differences between risks and opportunities faced by women across regions and sectors,” said Chaturvedi. Technology should scale impact equitably so that climate action is not only about lowering carbon levels, she added.
Warning against AI solutions that end up as redundant dashboards, Chaturvedi stressed on “intentionality.”
“We build that by setting impact goals with each portfolio company and opening our networks of customers, domain experts, and suppliers to help them deliver,” she added.
Chaturvedi’s view reframes sustainability not as a technological race but as a human-centred transformation, one where inclusion becomes infrastructure.
The Convergence of Climate and Health
All three investors, Momentum, Auxano, and AWE, see the frontier between climate and health rapidly dissolving. AI that models atmospheric carbon today could soon model human metabolic responses.
From bio-manufacturing carbon-negative materials to AI-driven precision health diagnostics, the same scientific playbook applies: use data to predict, simulate, and optimise. As Shrivastava puts it, “We’re betting on founders who can build green molecules, not just green brands.”
Together, these funds represent a new species of venture capital, patient, technical, and purpose-driven, uniting global capital with India’s engineering imagination for climate goals.
India is emerging as a deep-tech export hub not because it waves the green flag louder, but because it can prove impact through technology, AI, data, and design.
Nair, Chaturvedi, and Shrivastava agree on one thing: the solutions to planetary-scale problems will come from scientists who code, founders who measure, and investors who understand that climate capital is the new compute.
The post When Global VCs Meet Indian Climate Tech appeared first on Analytics India Magazine.
