Anthropic opens Bengaluru office: what operations leaders should plan for now
Anthropic has opened its first office in India, setting up in Bengaluru to support start-ups and enterprises across education, agriculture, and more. It's the company's second base in Asia after Tokyo, and a clear sign they're investing in long-term service and go-to-market in the region.
The company said it will work closely with Indian teams to build and deploy AI models tuned for local needs. For operations leaders, that means faster access to support, clearer procurement paths, and real movement on multilingual use cases.
Why this matters for operations
- Local execution: On-the-ground team in Bengaluru improves vendor response times, enterprise onboarding, and compliance reviews.
- Language coverage: Active model work in Hindi, Bengali, Marathi, Telugu, Tamil, Punjabi, and Gujarati enables frontline and back-office workflows without heavy translation layers.
- Proven enterprise use: Air India uses Claude Code to cut software development costs. Cognizant is deploying Claude to help 350,000 employees modernise legacy systems and support client adoption.
- Domain evaluation: Partnerships with Karya and the Collective Intelligence Project are building tests for tasks in agriculture and law with experts from Digital Green and Adalat AI-useful signals for risk, quality, and governance.
What Anthropic is bringing to India
From Bengaluru, Anthropic will offer services to Indian start-ups and enterprises, with a focus on applied model development and deployment. The company highlighted work across education and agriculture, plus collaborations to benchmark real tasks with domain specialists.
"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 Anthropic in India. She added that India is home to strong technical talent, scaled digital infrastructure, and a track record of using technology to improve lives.
Funding and momentum
Anthropic recently raised $30 billion in funding, with participation from investors including Abu Dhabi-based MGX, GIC, Coatue, DE Shaw Ventures, Dragoneer, Founders Fund, and Iconiq. The Series G round valued the company at $380 billion, according to the announcement.
The company also noted that its run-rate revenue in India has doubled since it announced its expansion in October 2025, with growth distributed across large enterprises, digital-native companies, and start-ups.
Ecosystem context
The Bengaluru office announcement coincided with the AI Impact event in New Delhi, a major policy and investment forum drawing global technology leaders and policymakers. Key speakers include Alphabet's Sundar Pichai, OpenAI's Sam Altman, Anthropic's Dario Amodei, Reliance's Mukesh Ambani, and Google DeepMind's Demis Hassabis.
India's Prime Minister Narendra Modi underscored a focus on "welfare for all, happiness for all," signaling momentum around human-centric progress. Meanwhile, Microsoft, Amazon, and Google have committed significant AI and cloud investments in India through 2030, as reported by Reuters.
Action plan for the next 90 days
- Identify 2-3 priority workflows: Pick high-friction processes with measurable outcomes-customer support, claims triage, software engineering tasks, or knowledge retrieval.
- Define success metrics: Cycle time reduction, accuracy, deflection rate, rework rate, cost per ticket, or developer throughput.
- Run a contained pilot: 8-12 weeks with a small user group. Lock scope, track baselines, and compare against a control.
- Plan integration early: Map SSO, data sources, logging, and observability. Clarify what data leaves your VPC and retention defaults.
- Address governance: Set review gates for prompts, model outputs, and fine-tuning data. Document failure modes and escalation paths.
- Local language readiness: If your teams or customers use Hindi, Bengali, Marathi, Telugu, Tamil, Punjabi, or Gujarati, validate outputs with bilingual reviewers before scale-up.
- Negotiate SLAs and pricing: Response times, uptime, throughput caps, and incident processes. Align unit economics to target ROI.
- Upskill the team: Give analysts, engineers, and ops managers hands-on training with Claude and Claude Code. Pair with a prompt-pattern library.
Customer examples to benchmark
- Air India: Building custom software with Claude Code to reduce development cost versus alternatives.
- Cognizant: Deploying Claude across 350,000 employees to modernise systems and support client programs.
- Start-ups: Razorpay, Enterpret, and Emergent are adopting Anthropic for product and operations use cases.
- Education: Pratham is using Anthropic technology to support learning at scale.
Risks and how to de-risk
- Output quality: Use the agriculture and law evaluations as reference, then create your own task-level tests with domain experts.
- Data protection: Clarify PII handling, redaction, and retention. Prefer no-train modes for sensitive data.
- Model drift: Version your prompts, pin model versions where possible, and monitor KPI shifts after updates.
- Vendor lock-in: Keep abstractions that let you switch models if economics or performance change.
- Change management: Introduce playbooks, short trainings, and office hours. Track adoption and satisfaction alongside hard KPIs.
How to get your team ready
If Claude will sit in your toolchain-especially for coding, service ops, or analytics-invest in focused training. A structured path shortens the ramp and reduces rework.
- Claude certification for teams - build practical skills for prompts, evaluation, and workflow design.
- AI courses by job function - pick role-specific tracks for operations, engineering, and support.
Bottom line
Bengaluru gives Anthropic a direct line into India's talent, enterprises, and public initiatives. For operations leaders, this is the moment to move from exploration to controlled pilots with clear metrics, governance, and a path to scale if results hold.
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