Sarvam AI has introduced a new vertical named Chanakya, aimed at delivering applied artificial intelligence solutions for institutions where security, reliability, and control are critical requirements. The launch formalises nearly a year of behind-the-scenes work focused on building full-stack AI systems designed to address complex enterprise needs and challenges of national importance.
The Chanakya vertical is specifically tailored for organisations operating in highly regulated or strategic environments, where reliance on public cloud infrastructure or consumer-grade tools is not feasible. This includes sectors that demand stringent data control, operational resilience, and secure deployment frameworks.
According to the company, the offering is built to support on-premise implementations, including air-gapped environments, ensuring maximum data protection. It also incorporates capabilities such as multi-modal data ingestion and production-grade agentic workflows, enabling institutions to deploy AI systems in scenarios where operational failure is not an option. Sarvam AI noted that solutions developed under this vertical are designed with a “dual-use” approach, catering to both enterprise applications and strategic use cases.
The announcement comes shortly after the company unveiled its first in-house AI models, Sarvam-30B and Sarvam-105B, marking a significant step in its technology development journey. Alongside these models, the startup has introduced a range of products including Sarvam Vision, Sarvam Dub, and its AI-powered smart glasses, Sarvam Kaze, expanding its presence across multiple AI-driven use cases.
In parallel, Sarvam AI is reportedly in early-stage discussions to raise between $250 million and $300 million from investors such as NVIDIA, HCLTech, and Accel, indicating strong interest in its growing AI ecosystem.
With the launch of Chanakya, Sarvam AI is positioning itself to address high-stakes, large-scale challenges by offering secure and scalable AI solutions tailored for institutions that require robust, mission-critical technology infrastructure.
