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AI Firm Anthropic Opens Its First Office in India to Expand Operations
Anthropic will support Indian start-ups and enterprises with AI models in multiple local languages and has doubled its India revenue since October 2025, the company said.
- On February 16, 2026, Anthropic, a US-based artificial intelligence company, opened its second Asian office in Bengaluru to expand operations and serve Indian startups and enterprises.
- After raising $30 billion last week in a Series G funding round valuing it at $380 billion, Anthropic announced its office ahead of New Delhi's AI Impact Summit with over 250,000 delegates expected.
- Anthropic's Claude coding models have cut development time and Cred reported twice as fast feature delivery, while the company develops models in Hindi, Bengali, Marathi, Telugu, Tamil, Punjabi, and Gujarati with local partners.
- Its India run-rate revenue has doubled since October 2025, supporting start-ups Razorpay, Enterpret, Emergent and non-profit Pratham while engaging policymakers.
- The timing coincided with New Delhi's AI Impact Summit, which started on Monday with over 250,000 delegates and featured $68 billion in AI investments from Microsoft, Amazon and Alphabet's Google.
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Anthropic opens Bengaluru office; partners with Air India, edu-nonprofit Pratham, others in AI push — Details here
Anthropic, on 16 February 2026, announced that it is opening an office in Bengaluru, Karnataka, as the company is focused on its partnerships across several sectors and with multiple companies in India. Here's what you need to know about the company's move.
·New Delhi, India
Read Full ArticleAnthropic opens India office, announces new partnerships ahead of India AI Impact Summit
Anthropic has opened its first India office, located in Bengaluru, the same day as the India AI Impact Summit begins. The AI startup has also announced new partnerships in key areas with local firms. Here are all the details.
·India
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Total News Sources23
Leaning Left0Leaning Right5Center2Last UpdatedBias Distribution71% Right
Bias Distribution
- 71% of the sources lean Right
71% Right
C 29%
R 71%
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