Sarvam becomes India’s newest AI unicorn with $234M funding led by HCLTech

Team of engineers at Sarvam AI office in Bengaluru working on multilingual AI models

Bengaluru-based artificial intelligence startup Sarvam has raised $234 million at a $1.5 billion valuation, the company announced Monday, making it India’s newest AI unicorn. The round is led by HCLTech, the IT subsidiary of Indian conglomerate HCL Group, which is contributing $150 million as the lead strategic investor.

Bessemer Venture Partners also participated in the round alongside existing backers Khosla Ventures and Peak XV Partners. Sarvam plans to raise a total of $300 million for its Series B round, signaling strong investor appetite for homegrown AI infrastructure in India.

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The investment comes more than two years after Sarvam raised $41 million across its seed and Series A rounds, and follows the startup’s launch of its open-source models in 30-billion- and 105-billion-parameter variants earlier this year.

Sovereign AI push gains momentum

The funding reflects a broader push by governments and companies to develop sovereign AI capabilities, amid growing concerns over access to advanced models and the computing infrastructure that powers them. Sarvam is among a handful of startups attempting to build a full-stack AI business, spanning model development, inference infrastructure, and enterprise applications.

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The startup says its models are designed for Indian languages and use cases, with products being deployed across banking, insurance, government services, and defense.

The debate over AI sovereignty gained fresh urgency last week when Anthropic disabled access to its latest models, Fable 5 and Mythos 5, after the U.S. government ordered the company to suspend their use by any foreign national, citing national security concerns. The move highlighted how access to state-of-the-art AI systems remains concentrated among a small number of overseas providers.

HCLTech partnership opens enterprise doors

HCLTech’s investment gives Sarvam a deep-pocketed strategic partner as it seeks to commercialize its technology. The plan is to combine Sarvam’s AI models with HCLTech’s enterprise relationships, engineering workforce, and software assets to build AI products for businesses and governments.

India has emerged as one of the world’s most important AI markets. Both OpenAI and Anthropic have described India as their second-largest market after the U.S., driven by the country’s vast base of developers, enterprises, and consumers adopting AI tools.

Despite its scale as an AI consumer, India has produced few serious contenders in the race to develop frontier AI models. High computing costs and limited access to capital have made it difficult for Indian startups to compete with well-funded rivals in the U.S. and China, leaving Sarvam among a small group of companies attempting to build homegrown foundation models.

Scale of deployment and next-gen research

With the fresh investment, Sarvam said it would fund research into its next-generation AI models focused on agentic, coding, and cybersecurity applications, while also expanding access to computing infrastructure as it scales deployments across industries.

Sarvam said its conversational AI platform now handles more than 2 million interactions a day, while its inference platform processes roughly 10 million API calls daily. Its speech models transcribe more than 500,000 hours of audio each month, and its document AI systems are being used to digitize more than 35 million pages of records.

Those tools are increasingly being deployed at scale. The company said its multilingual voice agents have collected data from 17 million farmers for India’s Ministry of Agriculture and Farmers Welfare. Additionally, a nationwide voice campaign for a leading insurer helped support policy renewals for 45 million policyholders.

Beyond government and consumer-facing applications, Sarvam said a large fintech company is using its agentic AI platform to support a sales force of more than 350,000 people.

The startup was founded by Vivek Raghavan and Pratyush Kumar, who previously worked at AI4Bharat, an Indian-language AI research initiative at the Indian Institute of Technology Madras backed by technology veteran Nandan Nilekani.

“Our ambition is to diffuse this technology widely in India, creating significant value across sectors for citizens, small businesses, enterprises, and state and central governments,” Raghavan said. “We are positioned to both help them adopt and innovate on AI.”

CoinPulseHQ Editorial

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CoinPulseHQ Editorial

The CoinPulseHQ Editorial team is a dedicated group of cryptocurrency journalists, market analysts, and blockchain researchers committed to delivering accurate, timely, and comprehensive digital asset coverage. With combined experience spanning over two decades in financial journalism and technology reporting, our editorial staff monitors global cryptocurrency markets around the clock to bring readers breaking news, in-depth analysis, and expert commentary. The team specializes in Bitcoin and Ethereum price analysis, regulatory developments across major jurisdictions, DeFi protocol reviews, NFT market trends, and Web3 innovation.

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