Noida-based HCLTech on Monday said that it will invest $150 million (around ₹1,427 crore) as a lead strategic investor in Sarvam AI, with an aim to strengthen the artificial intelligence ecosystem in the country, and beyond.

In total, the AI company has raised $234 million(around ₹2,218.61 crore) in the first close of its $300 million Series B at a postmoney valuation of $1.5 billion.

The rest of the investment has been made by Bessemer Venture Partners, with continued support from existing investors Khosla Ventures and Peak XV Partners, the companies said.

“Our investment in Sarvam marks a significant step toward building India’s trusted and globally competitive AI ecosystem. By bringing together Sarvam’s research in AI models with HCLTech’s global presence, we are creating a differentiated full-stack AI platform for enterprises and governments, strengthening our ability to deliver secure, scalable, and responsible AI solutions,” C Vijayakumar, Chief Executive Officer and Managing Director, HCLTech, said.

Sarvam builds across the AI stack -- training and inference infrastructure, frontier model research, and a go-to-market motion spanning enterprises, developers, and government.

The investment will fund Sarvam’s continued research on training its next frontier model for agentic, coding, and cybersecurity use-cases, as well as access to compute at scale to expand its forward-deployed motion across key verticals, the companies said.

“We are clear that research-led innovation to create AI that works at India’s scale is a very large opportunity. That means models that understand our voices, read our documents, and serve intelligence at a cost every enterprise and government can afford. Building on this template, we are innovating on a full-stack offering for enterprises to own and operate their own sovereign AI,” Pratyush Kumar, Co-Founder at Sarvam, said.

In the last few months, Sarvam has released foundational models, all trained from scratch in India. Sarvam 105B matches or outperforms larger reasoning models on knowledge, reasoning, and agentic benchmarks, while Sarvam 30B is optimised for the edge, running on consumer hardware, he said.

Sarvam Vision, built for handwriting and Indianlanguage records, is being used to digitise over 35 million pages from insurance forms to legacy land records. Sarvam’s speech models also work in India’s complex settings, transcribing over half a million hours of audio each month.

Sarvam’s conversational platform now handles over 2-million interactions a day, with usage doubling in the last two months. Sarvam’s models are also being adopted by developers served on its inference platform in India which processes 10 million API calls daily, with usage tripling in the last three months, the company added.

Published on June 15, 2026