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Commotion unveils enterprise AI operating system built on NVIDIA Nemotron open models

Commotion has launched a new Enterprise AI Operating System (AI OS) developed in collaboration with NVIDIA, aimed at helping organizations move artificial intelligence from pilot projects to full-scale production. Powered by NVIDIA Nemotron open models and the NVIDIA Riva speech AI library, the platform is designed to enable enterprises to execute business tasks autonomously with strong governance, visibility and measurable outcomes.

Unlike conventional AI tools that primarily generate insights, Commotion’s AI OS focuses on execution. The platform unifies enterprise data, orchestrates decisions across systems, and enables AI workers to complete end-to-end tasks such as handling customer service calls, resolving network issues and enhancing guest experiences.

Moving from AI Experiments to Operational Impact

Industry adoption of AI agents remains at an early stage, with many enterprises operating multiple disconnected copilots and AI applications. Data silos, limited traceability and governance concerns often prevent leaders from allowing AI to drive real decisions.

Commotion aims to address these gaps through a proprietary context engineering layer that continuously maps enterprise data into a shared framework. This allows AI workers to understand context, make decisions responsibly and execute tasks reliably across systems.

Murali Swaminathan, CEO of Commotion, said enterprises need AI that can act, not just respond. “Without a unified system, AI remains a collection of experiments. We built an OS that provides shared context and orchestration, enabling AI to move from recommendation to execution,” he said.

Backed by Infrastructure and Early Success

The initiative is further strengthened by a strategic investment from Tata Communications, whose global digital infrastructure supports secure, production-grade AI deployments across regions, including India. A.S. Lakshminarayanan, MD & CEO of Tata Communications, said the collaboration helps enterprises transition from AI demonstrations to mission-critical operations.

Early deployments are already showing measurable results. A global telecom provider has autonomously resolved over 40% of operational issues, reducing resolution times by 35%. An international airline expects AI to manage 30% of inbound calls in its first year, while an Indian automotive OEM reports improved ROI and lower operational costs through AI-led contact center modernization.

Vishal Dhupar, Managing Director, Asia South at NVIDIA, said the collaboration enables AI systems that can understand context and execute decisions responsibly at scale.

The launch aligns with India’s broader AI vision, positioning AI not merely as an assistive tool but as a governed digital workforce capable of driving enterprise productivity and efficiency.