Sarvam, an AI unicorn, has made a significant appointment by bringing on board Devendra Singh Chaplot, a founding team member at Mistral AI and Thinking Machines Lab, as an advisor. This move is aimed at bolstering the company's frontier AI capabilities, particularly as it works on developing a trillion-plus parameter model in India. The announcement was made at Sarvam's first developer conference, Epoch 2026, where the company also unveiled a slew of launches across various AI domains, including agentic AI, speech, vision, and enterprise productivity.
The appointment of Chaplot, who previously led pre-training at xAI, underscores Sarvam's commitment to advancing its AI expertise. Chaplot's experience in training large language models, including Mistral 7B, Mixtral 8x7B, and Mistral Large, will be invaluable to Sarvam as it seeks to build complex AI models. Furthermore, the company has announced the opening of a new office in San Francisco, marking a significant expansion of its operations.
The development of a trillion-plus parameter frontier AI model in India is a ambitious undertaking, but Chaplot believes it is achievable with the right infrastructure. He estimates that a model with around 3 trillion parameters could be pre-trained in about two months using 10,000 Blackwell GPUs, with the entire training cycle taking around four to six months. This is a significant statement, given the prevailing view that building such models requires large teams of experienced researchers and substantial computational resources.
What Happened
The appointment of Devendra Chaplot as an advisor to Sarvam is a strategic move aimed at enhancing the company's AI capabilities. Chaplot's experience and expertise will be crucial in helping Sarvam achieve its goal of building a trillion-plus parameter frontier AI model in India. The company's decision to open a new office in San Francisco is also a significant development, as it will enable Sarvam to tap into the global talent pool and expand its customer base.
During the Epoch 2026 conference, Chaplot emphasized the importance of developing the capability to train AI models in India, rather than relying on global AI systems. He argued that this is essential for meeting the country's unique linguistic, cultural, educational, legal, and public policy requirements. Chaplot also pushed back against the notion that building frontier AI labs requires large teams of experienced researchers, suggesting that a handful of talented individuals can make a significant impact with the right support.
Sarvam's plans to develop next-generation models focused on agentic AI, coding, and cybersecurity are also noteworthy. The company aims to use the capital raised from its recent funding round to expand its compute infrastructure and enterprise deployments. With its conversational AI platform handling over 2 million interactions daily and its inference platform processing over 10 million API calls a day, Sarvam is already making a significant impact in the AI space.
Background
Sarvam was founded in 2023 by Pratyush Kumar and Vivek Raghavan, with the goal of developing AI models, infrastructure, and enterprise products across language, speech, vision, and document intelligence. The company began with the launch of OpenHathi-v1 in December 2023 and has since developed smaller Indic language models such as Sarvam-2B and Sarvam-1. It has also moved on to larger models, including Sarvam-30B and Sarvam-105B, which are designed for enterprise reasoning, multi-turn conversations, and long-document understanding across over 22 Indian languages.
Timeline
2023: Sarvam was founded by Pratyush Kumar and Vivek Raghavan
2023: Sarvam launched OpenHathi-v1 in December
2026: Sarvam appointed Devendra Chaplot as an advisor
2026: Sarvam announced the opening of a new office in San Francisco
2026: Sarvam became India's 130th unicorn after raising $234 million in funding
Sarvam's AI products are already being used across various industries, including banking, insurance, government, and defense. The company's conversational AI platform and inference platform are handling significant volumes of interactions and API calls, respectively. With its recent funding round and the appointment of Devendra Chaplot as an advisor, Sarvam is well-positioned to further strengthen its AI capabilities and expand its operations.
Why It Matters
The appointment of Devendra Chaplot as an advisor to Sarvam and the company's plans to build a trillion-plus parameter frontier AI model in India are significant developments in the AI space. These moves underscore the growing importance of AI in India and the need for companies to develop capabilities to train AI models locally. The development of such models will have far-reaching implications for various industries, including banking, insurance, government, and defense, which are already using Sarvam's AI products.
The ability to build and customize AI models will enable companies, governments, developers, and researchers in India to address the country's unique requirements and challenges. This, in turn, will drive innovation and growth in the AI space, creating new opportunities for startups and established companies alike. Furthermore, the expansion of Sarvam's operations to San Francisco will enable the company to tap into the global talent pool and expand its customer base, further solidifying its position in the AI market.
Industry Impact
The appointment of Devendra Chaplot as an advisor to Sarvam and the company's plans to build a trillion-plus parameter frontier AI model in India will have significant implications for the AI industry. The development of such models will drive innovation and growth in the AI space, creating new opportunities for startups and established companies alike. The expansion of Sarvam's operations to San Francisco will also enable the company to compete more effectively in the global AI market.
Analysis
The AI market in India is rapidly evolving, with companies like Sarvam at the forefront of innovation. The appointment of Devendra Chaplot as an advisor and the company's plans to build a trillion-plus parameter frontier AI model in India are significant developments that will drive growth and innovation in the AI space. As the AI market continues to evolve, it is likely that we will see more companies investing in AI research and development, leading to new breakthroughs and innovations.
Key Takeaways
Sarvam has appointed Devendra Singh Chaplot as an advisor to strengthen its frontier AI expertise
The company plans to build a trillion-plus parameter frontier AI model in India over the next six months
Sarvam has announced the opening of a new office in San Francisco, marking a significant expansion of its operations
The company's AI products are already being used across various industries, including banking, insurance, government, and defense
Sarvam became India's 130th unicorn after raising $234 million in funding, with plans to use the capital to develop next-generation models and expand its compute infrastructure and enterprise deployments
The development of AI models in India will drive innovation and growth in the AI space, creating new opportunities for startups and established companies alike
Conclusion
The appointment of Devendra Chaplot as an advisor to Sarvam and the company's plans to build a trillion-plus parameter frontier AI model in India are significant developments in the AI space. As the AI market continues to evolve, it is likely that we will see more companies investing in AI research and development, leading to new breakthroughs and innovations. With its recent funding round and the expansion of its operations to San Francisco, Sarvam is well-positioned to further strengthen its AI capabilities and expand its operations, driving growth and innovation in the AI space.
The future of AI in India looks promising, with companies like Sarvam at the forefront of innovation. As the country continues to develop its AI capabilities, we can expect to see significant advancements in various industries, including banking, insurance, government, and defense. The development of AI models in India will also drive innovation and growth in the AI space, creating new opportunities for startups and established companies alike.
