New Delhi: Sarvam AI is stepping deeper into enterprise and government-focused artificial intelligence, with a new vertical called Chanakya. The move comes at a time when Indian AI startups are trying to move beyond consumer tools and build systems for high-stakes environments. This includes sectors where uptime, privacy, and control are not optional.
The company says it has spent the past year building full-stack AI systems for what it calls “problems of national consequence and complex enterprises.”
We’ve been quietly building something over the past year – applying our full-stack AI to problems of national consequence and complex enterprises. Now we’re scaling the vertical behind it – Chanakya.
— Sarvam (@SarvamAI) March 29, 2026
Sarvam Chanakya focuses on secure and mission-critical AI use
The Chanakya vertical is built for organisations that cannot depend on public cloud or consumer AI tools. These include regulated enterprises and institutions working in sensitive sectors.
Sarvam explained its approach clearly in a post, saying it supports “On-prem deployments in air-gapped environments. Multi-modal data ingestion. Production-grade agentic workflows for institutions where failure isn’t an option.”
The company added that these systems will have “dual use,” meaning they can serve both enterprise needs and strategic applications.
Built on Sarvam’s growing AI stack
Chanakya is not a standalone experiment. It builds on Sarvam’s earlier launches, including its in-house models Sarvam-30B and Sarvam-105B, which were unveiled at the India AI Impact Summit.
The company has also introduced tools across different use cases. These include Sarvam Vision for OCR and multimodal tasks, Sarvam Dub for translation and dubbing, and the Indus beta app for mobile and web users. There is even Sarvam Kaze, an AI-powered smart glasses project.
Funding talks and enterprise push
The expansion comes alongside reports of fresh funding discussions. According to an earlier Economic Times report, Sarvam is in early talks to raise $250 million to $300 million from investors including Nvidia, HCLTech, and Accel.
Co-founder Vivek Raghavan has already hinted at the company’s direction. He said, “We are primarily working with enterprises. Our approach is largely B2B. We’re also working with governments and different sectors.”
Sarvam seems to be betting that the next phase of AI growth in India will come from systems that sit behind closed doors, not just apps on a phone.