
San Francisco-based AI research company Anthropic has officially inaugurated its new office in Bengaluru, marking a significant milestone in its global expansion strategy. This development establishes the company's second foothold in Asia, following Tokyo, and underscores India’s critical role in the global artificial intelligence landscape. With India now ranking as the second-largest market for Claude AI, the move signals a transition from remote adoption to active, on-the-ground ecosystem development.
The opening comes amidst a period of explosive growth for Anthropic in the region. Since announcing its intent to expand in October 2025, the company’s run-rate revenue in India has doubled in just four months. The Bengaluru office, led by Managing Director Irina Ghose, is set to become a central hub for engineering, product development, and policy, focusing on harnessing the country's vast technical talent pool.
Data revealed by Anthropic highlights a distinct usage pattern in the Indian market: nearly half of all Claude usage in the country is dedicated to computer and mathematical tasks. This statistic aligns with India's reputation as a global software powerhouse. Developers are utilizing Claude not just for code generation, but for complex system modernization and the deployment of production software.
"India represents one of the world's most promising opportunities to bring the benefits of responsible AI to vastly more people and enterprises," stated Irina Ghose. She emphasized that the country's combination of technical talent and digital infrastructure creates the perfect foundation for scaling AI utility.
Prominent Indian enterprises have already integrated Anthropic’s diverse model family into their core operations. Air India is leveraging Claude Code to accelerate software shipment and implement agentic AI across its logistics network. Similarly, fintech unicorn CRED has reported a 2x increase in feature delivery speed and a 10% improvement in test coverage since adopting the platform. Meanwhile, IT services giant Cognizant is deploying Claude to a workforce of 350,000 to drive modernization for global clients.
A core component of Anthropic's India strategy is addressing the language gap in Large Language Models (LLMs). While AI models traditionally excel in English, Anthropic has launched a comprehensive initiative to enhance performance in Indic languages. Over the last six months, the company has curated high-quality training data for ten major languages, including Hindi, Bengali, Tamil, Telugu, and Marathi.
To validate and refine these capabilities, Anthropic is collaborating with Karya and the Collective Intelligence Project. These partnerships aim to build rigorous evaluation frameworks that test model performance on locally relevant tasks in domains such as law and agriculture.
This linguistic focus is already yielding practical applications. Adalat AI launched a nationwide WhatsApp helpline today, powered by Claude. This tool addresses the backlog of 50 million pending court cases in India by providing litigants with instant case updates, translation, and document summarization in native languages, bypassing the need for complex legal intermediaries.
Anthropic is also pushing for open standards through the adoption of the Model Context Protocol (MCP), a universal standard for connecting AI systems to data sources. In a landmark public-private collaboration, the Ministry of Statistics and Programme Implementation (MoSPI), supported by Bharat Digital, has launched the first official government MCP server. This allows AI systems to query authoritative national statistics transparently.
In the private sector, food delivery giant Swiggy has integrated MCP to allow users to execute real-world tasks—such as ordering groceries or booking tables—directly through the Claude interface.
The expansion is supported by a wide array of partnerships spanning varying sectors, from rapid-growth startups to non-profits. The following table details key collaborations announced alongside the office opening:
| Sector | Partner | Application |
|---|---|---|
| Aviation | Air India | Using Claude Code for agentic AI and faster software shipping |
| Fintech | CRED | Achieved 2x faster feature delivery and improved test coverage |
| IT Services | Cognizant | Deploying Claude to 350,000 employees for legacy system modernization |
| Government | MoSPI | Launched official MCP server for accessing national statistics |
| Judiciary | Adalat AI | WhatsApp helpline for case updates and legal document simplification |
| Education | Pratham | Piloting "Anytime Testing Machine" for student exams in 20 schools |
| Agriculture | Digital Green | Enhancing agricultural advisory services via OpenAgriNet |
| Consumer Tech | Swiggy | Enabling direct ordering and reservations via MCP integration |
Beyond commercial enterprise, Anthropic is leveraging its presence to support India's digital public infrastructure. In education, the company has partnered with the Central Square Foundation to provide technical mentorship and API credits to organizations building AI tutors and assessment tools.
Agriculture, which employs nearly half of India's workforce, is another focal point. Through the EkStep Foundation and the OpenAgriNet initiative, Anthropic is deploying Claude to democratize access to expert agricultural knowledge, aiming to improve productivity for millions of farmers.
The inauguration of the Bengaluru office is more than a real estate investment; it is a strategic alignment with the world's fastest-growing developer community. With a recent Series G funding round valuing the company at $380 billion and a global run-rate revenue of $14 billion, Anthropic has the resources to compete aggressively against rivals like OpenAI and Google in the region.
As the company hires for local roles in engineering and research, the focus will remain on "Constitutional AI"—creating systems that are helpful, harmless, and honest. For India's tech ecosystem, the arrival of a major frontier lab signals that the country is no longer just a market for consumption, but a critical partner in the development of the next generation of artificial intelligence.