1 month ago
Devendra Chaplot Joins Sarvam AI, Boosting India's AI Ambitions
Devendra Chaplot, a well‑known AI scientist, left Elon Musk’s company xAI and joined the Indian startup Sarvam AI.
Sarvam is trying to create a huge AI model that can understand many languages.
Devendra will help the team learn how to build such models.
He said India needs its own AI tools because of its many languages.
Sarvam also showed new AI products at a big event in Bengaluru.
The company has a lab in San Francisco where Devendra will work.
Sarvam is valued at $1.5 billion after raising money from investors.
Devendra’s experience will help Sarvam compete with big AI companies worldwide.
Devendra Singh Chaplot, former xAI researcher, joined Sarvam AI as part‑time advisor.
Sarvam AI is building a one‑trillion‑parameter foundation model in India and has opened a research lab in San Francisco.
Chaplot’s background includes founding roles at Mistral AI, Thinking Machines Lab, and work at Facebook AI Research, Apple, and Samsung.
He emphasized the need for motivated talent and locally‑customized AI models to serve India’s linguistic diversity.
Sarvam unveiled new AI products (Saras V4, Bulbul V4, Vision 2.0) at its Epoch 2026 event in Bengaluru.
- Who
- Devendra Singh Chaplot, AI researcher and advisor
- What
- Joined Sarvam AI as a part‑time advisor
- Where
- Bengaluru, India (event) and San Francisco, USA (lab)
- When
- 2026
- Why
- To strengthen Sarvam’s AI research and build India‑centric foundation models
Key facts
- Advisor
- Devendra Singh Chaplot
- Company
- Sarvam AI
- Model Size
- 1 trillion parameters
- Event
- Epoch 2026
- Valuation
- $1.5 billion
- Funding Round
- Series B, $234 million
Quotes
Devendra Singh Chaplot
AI researcher and advisor at Sarvam AI
“I’ve been part of founding teams at cutting-edge labs. You need a handful of experts and experienced individuals, but we also require more motivated talent capable of getting up to speed quickly and driving the company forward.”
thehansindia.com
“"I have been part of founding teams at frontier labs. You need a handful of experts and experienced people but we need more of motivated talent, who can catch up very quickly and run the company,"”
firstpost.com
Sources
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