HCLTech is one of the leading IT services companies in India. HCLTech is said to have advanced talks to stake an investment of around $150 million in Sarvam AI. This investment comes from a $200 million to $250 million raise for the Bengaluru-based startup. With this infusion of capital, HCLTech is making a strong case for the change in the Indian IT landscape, shifting from a typical model of services to a strategic partnership with home-grown AI-native firms. The various initiatives put forth by HCLTech are expected to enable them to tap into Sarvam AI’s local talent pool to roll out large-scale, indigenous artificial intelligence solutions for their global clients.

Partnership and growing valuation

Sarvam AI has become a pillar of India’s sovereign AI goals, working to create foundational AI models from scratch in India. This new round of financing would increase the valuation of the startup to about $1.5 billion, making it worth seven times more than its valuation in less than two years’ time. 

Its rapid growth is an indication of investor confidence in its technical prowess and the ability of its technology to compete with the best artificial intelligence systems around the world. This company was founded in July 2023 by Vivek Raghavan and Pratyush Kumar, who were at one point part of the brain trust that made up the founders of AI4Bharat, headed by Nandan Nilekani. Within a very short period of time, it has established itself as a major player in creating full-fledged generative artificial intelligence solutions.

HCLTech would be leading the fundraising round while getting help from technology behemoth NVIDIA and venture capital firm Accel. This partnership with NVIDIA comes at a good time since this company uses NVIDIA’s powerful processors in training its models.

With the participation of Accel, the startup gets the necessary financial resources and market opportunities to expand operations beyond the shores of India. These partnerships offer Sarvam the essential “triple threat” of resources: specialized hardware, the cloud, and enterprise reach.

Significant momentum and infrastructure scaling

In recent times, Sarvam AI has made substantial strides with the release of its two large language models, a 30 billion parameter model and a 105 billion parameter model, at the India AI Impact Summit. These models are specifically engineered to achieve superior performance on benchmarks focused on the Indian languages. 

According to the startup’s co-founders, their models are not only more cost-effective but also perform better on the sub-genre level of the linguistic sub-continent. The emphasis on “Indic” languages represents one of the most distinctive features, accommodating a vast market that is typically difficult for global big-tech giants to effectively penetrate.

The Government’s AI India Mission, a government-led program with a budget of ₹10,000 crore to create India’s sovereign AI infrastructure, provides a further boost to the startup’s success. Sarvam AI has been one of the primary beneficiaries of this mission, as they have received nearly ₹99 crore in subsidies to obtain 4096 NVIDIA H100 GPUs from Yotta Data Services. 

This immense computing capability enables the company to close the gap between the development of domestic AI and international ones, allowing for the quick training of complex AI models. The funding highlights the significance of the work done by Sarvam to create an independent and self-sufficient AI ecosystem.

Conclusion

The $150 million worth of investment by HCLTech in Sarvam AI is not only a monetary investment but is a historic moment in India’s technological sphere. Upon completion, it will also become the largest private market funding round ever for an Indian AI company, propelling Sarvam to become a leading AI unicorn.

It represents a period in which Indian IT giants actively participate in molding the future by investing in deep-tech startups. This investment will give Sarvam AI the runway it needs to redefine India’s role in the global technology ecosystem and take the lead in the sovereign AI race, as it continues its commercialization efforts with enterprise and government customers.