Sarvam becomes India’s latest AI unicorn with $234 million funding round led by HCLTech

Sarvam The company announced Monday that it has raised $234 million at a $1.5 billion valuation. The Bengaluru-based company is now India’s newest AI player, as governments and companies seek more control over critical AI technologies and computing infrastructure.

$150 million of this money will come from HCLTech, the IT subsidiary of the Indian HCL group and the lead strategic investor in the round. Bessemer Venture Partners also participated alongside existing backers Khosla Ventures and Peak XV Partners. Sarvam hopes to raise a total of $300 million for its Series B round.

The investment comes more than two years after Sarfam It raised $41 million Through its Seed and Series A rounds, the startup follows the launch of its product Open source models In 30 billion and 105 billion parameters earlier this year.

The new funding also reflects a broader push by countries and companies to develop sovereign AI capabilities amid growing concerns about access to advanced models and the computing infrastructure that supports them.

Sarvam is among a few startups trying to build a full-stack AI business, spanning model development, inference infrastructure and enterprise applications. The startup says its models are designed for Indian languages ​​and use cases, while its products are deployed across verticals including banking, insurance, government services and defence.

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.

Sarvam’s investment comes at a time when India is strengthening its position as one of the world’s most important artificial intelligence markets. Both OpenAI and Anthropic have described India as their second-largest market after the US, driven by the country’s broad base of developers, businesses and consumers adopting AI tools.

Despite its size as an AI consumer, India has produced only a few serious contenders in the race to develop leading 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 US and China, leaving Sarvam among a small group of companies trying to build local enterprise models.

The debate over the supremacy of artificial intelligence I gained a new urgency Last week when Anthropy Disable access to the latest modelsand Fable 5 and Mythos 5, after the US government ordered the company to suspend use by any foreign national, due to national security concerns. The move highlighted how access to cutting-edge AI systems remains concentrated among a small number of providers abroad.

With the new investment, Sarvam said it will fund research into next-generation AI models focused on agent applications, cryptography and cybersecurity, while also expanding access to computing infrastructure while scaling deployments across industries.

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

These tools are increasingly widely deployed. The multilingual voice agents collected data from 17 million farmers for India’s Ministry of Agriculture and Farmers’ Welfare, the company said. Additionally, a nationwide voice campaign for a leading insurance company helped support policy renewals for 45 million policyholders.

Beyond government and consumer-facing apps, Sarvam said one large fintech company is using its agent 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, a Hindi-language AI research initiative at the Indian Institute of Technology Madras with support from tech veteran Nandan Nilekani.

“Our ambition is to deploy this technology at scale in India, creating significant value across sectors for citizens, small businesses, enterprises, state and central governments,” Raghavan said. “We are in a position to help them embrace and innovate in AI.”