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For Sarvams to scale, tap global capital
India's generative AI landscape is thriving, yet it seeks greater global financial backing. While local startups are making strides in fundraising, their valuations still pale in comparison to those in Silicon Valley. To harness the potential of AI, India must unlock international investments. India presents a contradiction in AI. It's home to the world's 2nd-largest hub for generative AI startups. Yet, it attracts limited global capital because of constrained ambition. Companies developing foundation models are securing domestic venture funding. But even Sarvam, which became a unicorn after raising $234 mn this week, remains modestly valued compared with Silicon Valley peers. Without pairing local innovation with global capital at a larger scale, India risks missing the AI bus. 'Bharat Innovates 2026' at Nice, France, is currently showcasing technical talent in the EU, another market vulnerable to overreliance on offshore AI. A stronger international marketing push may be needed for Indian AI innovation to gain global attention. The EU is a good starting point. Its consumer-centric approach limits access to data critical for building foundation AI models. India has the technical talent to build AI models to train on enormous data it generates. There is an obvious synergy between these two markets, which are equally at risk of being denied access to frontier AI models developed in the US or China. They also share concerns over data protection and adverse economics of becoming AI-consuming regions. These issues resonate in other parts of the world and can be shaped into coherent policy to widen the field in AI. Sovereign AI matters in upholding cultural diversity, jurisdiction and security. It requires independent ability to develop, deploy and govern AI using local infra, data and models. This is critical to retaining the productivity gains from AI within the economy. Strategic wake-up calls tilt the debate over sovereign AI towards economics, where countries can negotiate acceptable terms. A hybrid model of global and local AI should emerge where India can play a significant role in tech development. This will be an open-source, culturally-sensitive environment that prioritises public-funded infra. Such a model of AI development will have many takers. But India will have to provide proof of execution.
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AI Sovereignty: Sarvam AI Gets HCL Tech Funding; Zoho Launches AI-ready Servers
India's tryst with AI sovereignty must start now and maybe the likes of Zoho and Sarvam AI can lead this journey The AI sovereignty plug made by Indian technologists appears to be fructifying, albeit slowly. Barely a couple of days after Sarvam AI CEO called out the White House for blocking access to Claude Mythos and Fable5 AI models, the company received a $234 million in a fundraise led by the HCL Group to push itself into a unicorn category. The latest round of fund infusion by HCLTech, Bessemer Venture Partners, Khosla Ventures and Peak XV Partners takes the company's valuation to $1.5 billion in this Series B round, wherein Sarvam had targeted a total raise of $300 million. More than the actual fundraise, it is the sentiment attached to Indian tech companies that makes this round important, especially given that another Indian company HCLTech is acquiring a 10.5% stake in the domestic AI startup and paying $150.7 million in cash. Incidentally, Sarvam had raised $41 million two years ago as seed and Series A funding for launching open source AI models. Sarvam did the fundraise barely three days after its cofounder and CEO Pratyush Kumar had shared his views around the Fable 5 withdrawal. He felt countries cannot afford to mistake access to cutting edge AI systems for true technological ownership. "Fable 5 ban is a good instigation for more people to engage in recognising the need for sovereignty," Kumar had said. Kumar's commentary came in response to Zoho founder Sridhar Vembu's comment that when it came to AI, globalisation was dead. Having created software that takes on the likes of Microsoft and Google, the company has now launched Nathu La, its first in-house server platform that aims to cut down AI infrastructure costs via datacentre indigenisation. Nathu La was launched last week and Vembu believes the move will cut down infrastructure costs, improve energy efficiencies and provide greater control over a tech stack that supports all Zoho products. The server uses Intel Xeon 6 processors. Zoho had said that the platform delivers performances that match global standard but cuts down on power consumption by between 12% to 18% while also lowering total cost of ownership (TCO) by up to 30%. "Hardware is one area where we have traditionally relied on global OEMs. But infrastructure has become foundational and if compute becomes foundational, we should own it," Ramprakash Ramamoorthy, Director of AI Research at Zoho Corp, had said. When Zoho launched Nathu La, they said it would not be available commercially and the platform would only be for internal use. "We launched a server platform primarily for internal use. We are dogfooding it as we speak. Zoho runs on Zoho," Ramamoorthy said. It remains to be seen whether Sridhar Vembu puts money where the mouth is and expands this effort to make Nathu La available to all Indian companies in the short-term. One way would be for some AI companies like Sarvam AI to get into circular deals the same way that several companies have done so in the US, leading to what many are describing as an AI bubble that could burst. Of course, both Sarvam and Zoho could stay away from "Musking" as our contributing author Alok Gurtu had described the phenomenon that bolsters value without actually showcasing or delivering it. Sarvam's first step in this direction could make other companies also seek funding from Indian companies, given that Indian tech industry quickly needs to deliver a broader push towards developing sovereign infrastructure. Especially in the wake of what we saw play out between Anthropic and Trump's White Houselate last week. Sarvam has long claimed that its AI models are designed for Indian languages and use cases while its products are for deployment across sectors like banking, insurance, and government services. The latest fundraise makes this AI startup a strategic partner with deep pockets whereby HCLTech might open its rolodex for building new enterprise-level relationships. Maybe, it is a good thing that the Fable5 fiasco happened when it did. Maybe it would be a good idea for Prime Minister Modi to stay away from asking for President Trump's help. The last time India was faced with such a scenario post its nuclear tests in 1998, its space program took flight despite foreign governments starving India of know-how and materials. Maybe it is time India's scientific minds come together and create tech stacks that are locally placed and AI models that aren't the generic ones but designed to perform task at an enterprise level. Maybe, India can lead the way in bidding adieu to LLMs and welcoming SLMs.
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Sarvam AI raised $234 million in Series B funding led by HCLTech, achieving unicorn status with a $1.5 billion valuation. The move signals India's push toward AI sovereignty, with HCLTech acquiring a 10.5% stake for $150.7 million. Meanwhile, Zoho launched Nathu La, its AI-ready server platform, cutting infrastructure costs by up to 30% while reducing power consumption by 12-18%.
Sarvam AI has achieved unicorn status after raising $234 million in Series B funding, bringing its valuation to $1.5 billion
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. The funding round was led by HCLTech, which acquired a 10.5% stake in the domestic AI startup for $150.7 million in cash. Other participants included Bessemer Venture Partners, Khosla Ventures, and Peak XV Partners. The company had initially targeted a total raise of $300 million in this round2
. This marks a significant milestone for Sarvam AI, which had raised $41 million just two years ago as seed and Series A funding for launching open-source AI models2
.India AI has emerged as the world's second-largest hub for generative AI startups, yet it continues to attract limited global capital for AI compared to Silicon Valley
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. While Sarvam AI's unicorn achievement represents progress, its valuation remains modest when compared with Silicon Valley peers. The country faces a critical challenge: pairing local innovation with international investments at a larger scale to avoid missing opportunities in the AI race1
. India is currently showcasing its technical talent through initiatives like 'Bharat Innovates 2026' in Nice, France, targeting the EU market, which shares similar vulnerabilities regarding overreliance on offshore AI.
Source: ET
The fundraise came just three days after Sarvam AI cofounder and CEO Pratyush Kumar criticized the White House for blocking access to Claude Mythos and Fable5 AI models
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. Kumar emphasized that countries cannot afford to mistake access to cutting-edge AI systems for true technological ownership, stating that the "Fable 5 ban is a good instigation for more people to engage in recognizing the need for sovereignty"2
. This sentiment reflects growing concerns about AI sovereignty and the need for sovereign AI development that upholds cultural diversity, jurisdiction, and security1
. Such independence requires the ability to develop, deploy, and govern AI using local AI infrastructure, data, and models to retain productivity gains within the economy.
Source: CXOToday
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Paralleling Sarvam AI's funding success, Zoho has launched Nathu La, its first in-house server platform designed to reduce AI infrastructure costs through datacenter indigenization
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. The Nathu La server, powered by Intel Xeon 6 processors, delivers performance matching global standards while cutting power consumption by 12% to 18% and lowering total cost of ownership by up to 30%2
. Zoho founder Sridhar Vembu declared that "when it came to AI, globalisation was dead," emphasizing the strategic importance of owning foundational infrastructure2
. Currently, the platform is for internal use only, supporting all Zoho products, though speculation exists about potential commercial availability to Indian companies.Sarvam AI has positioned its AI models specifically for Indian language models and use cases, with products designed for deployment across sectors including banking, insurance, and government services
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. The HCLTech partnership transforms Sarvam AI into a strategic partner with access to deep enterprise-level relationships through HCLTech's extensive network. India possesses the technical talent to build AI models trained on the enormous data it generates, creating obvious synergy with markets like the EU that face consumer-centric approaches limiting access to data critical for building foundation AI models1
. Both regions share concerns over data protection and the adverse economics of becoming AI-consuming regions, issues that resonate globally and can shape coherent policy to widen the field in AI1
. A hybrid model of global and local AI should emerge where India can play a significant role in tech development through an open-source, culturally-sensitive environment that prioritizes public-funded infrastructure1
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