
In a country as diverse as India, where more than 1,600 languages and dialects are spoken, creating inclusive technology is no small feat. Sarvam AI, founded by Vivek Raghavan and Pratyush Kumar, is taking on this challenge by developing Large Language Models (LLMs) specifically designed for Indian languages.
The Problem Sarvam AI is Solving
Most mainstream AI models today are trained predominantly in English or a handful of global languages. This leaves a massive gap for countries like India, where millions of people prefer to communicate in their mother tongues. Sarvam AI recognized this limitation and set out to make AI accessible in Indian linguistic contexts—from Hindi and Tamil to Bengali, Marathi, and beyond.
Backed by the IndiaAI Mission
Sarvam AI’s mission aligns closely with the Government of India’s IndiaAI initiative, which aims to strengthen the country’s position in the global AI ecosystem. By building open-source, Indian-language LLMs, Sarvam AI is not just contributing to research and development but also ensuring that digital inclusion becomes a reality for people across urban and rural regions.
What Makes Sarvam AI Unique
- Focus on Indian Languages – instead of adapting global models, Sarvam AI trains models from scratch, ensuring better accuracy and cultural relevance.
- Inclusive Design – the platform is designed to help users interact with AI tools in their native language, whether for education, healthcare, or business.
- Open-Source Contribution – by adopting an open-source approach, Sarvam AI encourages collaboration among researchers, developers, and enterprises.
Impact and Future Potential
The implications of Sarvam AI’s work are profound. Imagine farmers in rural India getting agricultural advice in their regional language, or students accessing educational tools without needing English proficiency. By lowering linguistic barriers, Sarvam AI is laying the foundation for a truly inclusive AI ecosystem.
As India continues its digital transformation, startups like Sarvam AI will play a crucial role in ensuring that no community is left behind in the AI revolution.
Conclusion
Sarvam AI is more than a tech startup—it is a socially impactful innovation engine. By building LLMs that embrace India’s rich linguistic and cultural diversity, the company is bridging the digital divide and empowering millions. Its journey shows that AI is not just about technology—it’s about representation, inclusion, and identity in the digital age.




