Anthropic expands India presence with local AI inference for Claude

The AI company will offer Claude through in-country inference on Amazon Bedrock, enabling Indian enterprises and government organisations to process data locally while strengthening compliance, data sovereignty and the adoption of generative AI across regulated sectors.

Artificial intelligence company Anthropic has announced a major expansion of its India operations by introducing in-country inference capabilities for its flagship AI assistant, Claude. The new offering will enable organisations to process AI workloads within India, addressing growing enterprise demand for data sovereignty, regulatory compliance and secure deployment of generative AI applications.

The company said Claude will soon be available through Amazon Bedrock, Amazon Web Services' platform for developing and deploying generative AI applications at scale. By using the India endpoint, customer requests will be processed on servers located within the country, allowing sensitive data to remain inside India's borders throughout the inference process.

The move is expected to benefit organisations operating in highly regulated industries, including banking, insurance, telecommunications, healthcare and government, where strict data residency requirements often influence technology adoption. Anthropic believes local inference capabilities will accelerate enterprise AI deployment by removing key compliance barriers.

Local data processing to accelerate enterprise AI adoption

Anthropic said in-country inference gives Indian enterprises greater confidence to deploy advanced AI solutions without transferring sensitive information outside the country. The offering is also designed to support governance requirements by providing audit trails, access controls and compliance features through Amazon Bedrock before AI applications move into production environments.

Welcoming the announcement, Ashok Vaswani, Managing Director and CEO of Kotak Bank, said trusted AI infrastructure hosted within India would help organisations responsibly explore advanced AI technologies while maintaining stronger control over customer data.

Irina Ghose, Managing Director, India, Anthropic, described the launch as a significant milestone for enterprise AI adoption in the country. She noted that sectors such as banking, insurance, telecom and public services manage data belonging to hundreds of millions of people, making local processing an important requirement for wider AI implementation.

According to Ghose, the introduction of in-country inference complements Anthropic's broader India strategy, which includes expanding its local workforce, improving Claude's capabilities in Indian languages and building partnerships that address the country's unique technological and societal challenges.

Expanding partnerships and AI innovation in India

Anthropic entered the Indian market with the opening of its Bengaluru office earlier this year and has since expanded its operations across the country. The company said India has emerged as one of the strongest markets for its global Claude Partner Network, with a growing number of Indian partners achieving Global Premier, Preferred and Select status.

The company is also collaborating with public sector organisations, state governments and healthcare institutions on projects where data residency is critical. Local inference is expected to support these initiatives by allowing sensitive citizen information to remain within India while enabling AI-powered services.

Beyond enterprise adoption, Anthropic continues to invest in research and innovation through its AI for Science programme. The initiative provides API credits to researchers, including scientists at the Indian Institute of Science working on antivenom discovery and biotechnology startup PopVax, which is using Claude to accelerate vaccine protein design for infectious diseases.

Anthropic also highlighted ongoing efforts under its Frontier AI Impact Commitments, including initiatives to improve Claude's performance across major Indian languages. Through collaborations with organisations such as Karya, the company is incorporating community-driven evaluations to enhance AI accuracy and cultural relevance, reinforcing its long-term commitment to building AI solutions tailored for India's diverse linguistic and enterprise ecosystem.