India is the second-largest market for Claude.ai, home to a developer community doing some of the most technically intense AI work we see anywhere. Nearly half of Claude usage in India comprises computer and mathematical tasks: building applications, modernizing systems, and shipping production software.

Today, as we officially open our Bengaluru office, we’re announcing partnerships across enterprise, education, and agriculture that deepen our commitment to India across a range of sectors.

“India represents one of the world’s most promising opportunities to bring the benefits of responsible AI to vastly more people and enterprises,” said Irina Ghose, Managing Director of India, Anthropic. “Already, it’s home to extraordinary technical talent, digital infrastructure at scale, and a proven track record of using technology to improve people’s lives. That’s exactly the foundation you need to make sure this technology reaches the people who can benefit from it most.”
Building language capabilities for a billion speakers

More than a billion people in India speak one of over a dozen officially recognized languages, but AI models continue to perform better in English than they do in other languages. Six months ago, we launched a company-wide effort to narrow this gap by curating higher-quality, more representative training data in 10 of the most widely spoken languages throughout India: Hindi, Bengali, Marathi, Telugu, Tamil, Punjabi, Gujarati, Kannada, Malayalam, and Urdu. This resulted in improvements to our models, and we continue to work on enhancing their fluency.

Now, Anthropic is working with Karya and the Collective Intelligence Project to build evaluations testing performance on locally relevant tasks across domains like agriculture and law, in partnership with domain experts from leading Indian nonprofits, including Digital Green and Adalat AI. This work will inform how we improve future models for speakers of Indic languages and for use cases important to India and the businesses that use Claude. We intend to make the evaluations publicly available for others to use.