en.Wedoany.com Reported - Cognizant (NASDAQ: CTSH) has recently launched the Sovereign Physical AI Platform-as-a-Service, aiming to bring autonomous systems from the experimental stage into enterprise core infrastructure. Built on the Cognizant Intelligence Spine, the platform connects disparate physical systems such as industrial sensors, IoT devices, factory automation, and energy infrastructure into a unified intelligent fabric, helping enterprises scale physical AI deployment.
Physical AI brings multimodal intelligence—including vision, sensing, localization, and low-latency communication—into the enterprise operational layer, enabling businesses to guide physical actions with greater visibility and control. Grand View Research estimates that by 2033, areas such as service and utility robots, autonomous vehicles, and humanoid systems will present a nearly trillion-dollar market opportunity. Cognizant CEO Ravi Kumar S stated that this is akin to the "iPhone moment" for robotics and physical AI, where advanced vision sensors, precise localization, low-latency secure communication, and multimodal AI innovations are the elements that bring AI into the physical world. Enterprises are at an inflection point, and Cognizant's role is to help embed AI-driven digital intelligence into their physical and operational layers.
Cognizant's New Work, New World 2026 research report shows that AI penetration in physical work has accelerated beyond long-term forecasts: in the transportation sector, AI penetration rose from 6% to 25%, and in construction, from 4% to 12%. The study notes that the human-centric aspects of physical work have significant potential for digital augmentation, further supporting the approach of embedding AI directly into the operational layer.
Vijay Narayan, Global Head of Physical AI, stated that integrating engineering and AI capabilities provides customers with a coherent way to make AI effective on the operational front. The differentiator lies in the discipline of connecting what physical systems observe, reason, and act upon, while ensuring that intelligence is owned and governed by the enterprise. Companies that lead the physical AI era will be those that build governed, scalable systems into their physical and operational core today.
The core challenge of physical AI lies in scaling and connecting systems, rather than building viable use cases. The Cognizant Intelligence Spine, designed as a sovereign institutional AI platform-as-a-service for physical AI, sits between the physical edge (sensors, cameras, robots, AI twins) and the agent layer, connecting physical AI systems with agent AI into a single institutional mind. This sovereign layer unifies across each system, connects to agent AI, is governed by customer rules, and deepens with every decision, ensuring that each deployed AI system contributes to a unified institutional intelligence owned by the enterprise.
Cognizant is deploying this capability across eight core verticals, including: Utilities (grid modernization, wildfire prevention, predictive asset maintenance, distributed energy management); Oil & Gas (pipeline integrity monitoring, autonomous inspection, safety system intelligence, environmental compliance); Manufacturing (autonomous quality control, predictive maintenance, robotic process integration, yield optimization); Logistics (autonomous warehouse operations, fleet intelligence, last-mile optimization, supply chain visibility); Transportation (autonomous fleet operations, infrastructure monitoring, port operations, real-time route intelligence); Aerospace & Defense (autonomous inspection, mission-critical AI, sovereign systems); Healthcare & Life Sciences (autonomous lab operations, clinical robotics, supply chain intelligence, regulatory traceability); and Consumer, Retail & CPG (safety-critical monitoring, regulatory compliance automation, process inspection, digital twin governance).
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