Anthropic Claude AI Launches In-Country Inference in India Through Amazon Bedrock

Anthropic has launched in-country inference for its Claude AI models in India through Amazon Bedrock, marking a significant step in addressing data residency requirements for regulated sectors.1

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The deployment enables Claude AI models in India to process requests on servers located within the country, giving organizations greater control over sensitive AI workloads while meeting regulatory compliance standards.

Local AI Processing Addresses Critical Data Residency Requirements

Claude Opus 5, Claude Sonnet 5, and Claude Haiku 4.5 are now available with in-country inference through Amazon Bedrock in India.3

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When Indian customers use the India endpoint, both the prompt sent to Claude and the model's response are processed on servers located within India.2

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This capability directly addresses data localization demands from financial institutions, government bodies, and large enterprises operating under strict regulatory and data-handling standards.

"In August, we committed to bringing Claude inference to India, and we are delivering on that promise," said Irina Ghose, Managing Director at Anthropic India. "Our customers, especially in regulated sectors and government, want to use Claude on their most critical work, with requests processed in the country. From today, they can."1

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Regulated Sectors Drive Demand for Local Inference

Data residency requirements have become increasingly important for companies deploying generative AI in India, particularly in banking, payments, insurance, and government sectors where organizations handle large amounts of sensitive data.1

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Claude deployments through Amazon Bedrock in India include audit trails and access controls that risk and compliance teams require before deploying AI in production environments.3

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Sandeep Dutta, President of AWS India and South Asia, emphasized the strategic importance: "For regulated industries, data residency is the parameter that decides whether AI stays confined to pilots or reaches full production. With in-country inference for Claude now available through Amazon Bedrock, requests are processed on servers based in India, enabling banks, insurers, and public institutions to trust and deploy AI at a production scale."3

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Major Indian Enterprises Adopt Local AI Processing

Reliance, CRED, and other customers tested the capability during private preview.1

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Companies including TCS, Kotak Bank, Mahindra Group, and Godrej Industries have welcomed the move, pointing to regulatory requirements, performance, resilience, and lower latency as reasons for running AI inference locally.

TCS is rolling out Claude to 50,000 employees, while Infosys has established an Anthropic Centre of Excellence.1

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Kotak Bank, Axis Bank, IndusInd Bank, and NPCI are using Claude for engineering and employee productivity, with NPCI building its agentic AI platform AiNxt on Claude. Vijay Narayanan, Head of Innovation & AI at Kotak Bank, stated: "In-country inference widens the options available to Indian banks. At Kotak, we built a single AI platform with governance designed in from the start, which lets us adopt new capabilities like this responsibly and at pace."3

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India Emerges as Strategic Market for Anthropic

India represents one of Anthropic's largest markets globally, with software development accounting for 45.2% of work-related tasks that users bring to Claude in the country—the highest share of any market.2

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Anthropic opened its Bengaluru office in February and has been expanding its India team and partnerships. The company held its first Claude certification programme for partners in Bengaluru in August, certifying up to 5,000 people.1

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Companies such as Reliance, Mahindra & Mahindra, and Godrej Industries are deploying Claude across their businesses, while CRED, Razorpay, Swiggy, Zomato, Invideo, and Freshworks are using it across products and engineering.1

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The Data Security Council of India noted that agents powered by Claude Opus are helping probe codebases, systems, and infrastructure for vulnerabilities.3

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Competitive Implications for Enterprise AI Market

The local inference capability positions Anthropic competitively as global AI companies vie for India's enterprise AI market, where data governance and the ability to keep sensitive AI workloads within the country are becoming increasingly important.1

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For companies operating under India's data and regulatory requirements, keeping AI workloads within the country could make it easier to move AI applications from pilots to wider production use. With the DPDP Act making data sovereignty a business imperative, organizations across regulated sectors can now scale Claude deployments with confidence while maintaining compliance with data localization requirements.3

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