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Commotion Launches Enterprise AI Operating System Powered by NVIDIA Nemotron™ Open Models to Scale Productivity For Digital Workforces
Prnewswire· 2026-02-23 09:11
Core Insights - Commotion Inc. has launched an AI Operating System (AI OS) in collaboration with NVIDIA, aimed at enhancing productivity for digital workforces by enabling autonomous task completion with strong governance and measurable outcomes [1] Group 1: Product Features - The AI OS integrates voice AI for natural, real-time speech interactions, allowing AI Workers to listen, interpret emotions, reason, and respond quickly [1] - It unifies context, orchestration, and execution, enabling AI Workers to autonomously complete business tasks such as customer service calls and network issue resolutions [1] - The platform is designed to move AI from pilot projects to production, addressing the disconnect between various AI tools and enabling enterprises to act on insights [1] Group 2: Market Demand and Challenges - Enterprises currently face a lack of AI that can perform tasks rather than just provide insights, leading to data silos and hesitance in decision-making [1] - The CEO of Commotion emphasized that the industry’s challenge is not the absence of models or data, but the disconnection among existing systems [1] Group 3: Strategic Partnerships and Investments - Commotion's AI OS is supported by a strategic investment from Tata Communications, which provides a secure global digital infrastructure for reliable AI deployment [1] - The collaboration aims to help Indian enterprises deploy AI effectively across various languages and complex infrastructures, aligning with the Government of India's AI vision [1] Group 4: Early Engagements and Results - Early implementations have shown significant results, such as a 50% higher ROI and 30% lower cost per call for an Indian automotive OEM, and a global telecom provider resolving over 40% of operational issues autonomously [1] - An international airline anticipates that AI will manage 30% of inbound customer calls in its first year, showcasing the potential for operational efficiency [1]