Cognizant has launched a sovereign Physical AI Platform-as-a-Service to connect industrial sensors, IoT devices, factory automation, and energy infrastructure into a single intelligence fabric. The offering, built on the proprietary Cognizant Intelligence Spine, moves autonomous operational systems out of isolation and directly into core enterprise infrastructure. The initial launch targets what Grand View Research estimates will be a trillion-dollar market by 2033 across service and utility robotics, autonomous vehicles, and humanoid systems.
The commercial rollout addresses an acceleration in operational automation documented in Cognizant’s New Work, New World 2026 study. The research found that artificial intelligence exposure in physical work has exceeded long-range forecasts, with transportation exposure climbing from 6% to 25% and construction exposure rising from 4% to 12%. These metrics indicate that human-centered portions of physical operations are experiencing rapid digital enhancement, making it necessary to embed cognitive systems into physical operating layers rather than leaving them confined to digital software systems.
Architecturally, the platform inserts the Cognizant Intelligence Spine between the physical edge and the agentic reasoning layer. This eliminates a widespread enterprise bottleneck where a proliferation of separate equipment makers leaves businesses without shared operational context. The framework unifies data flows to ensure that each deployed asset feeds into a centralized, sovereign intelligence pool governed entirely by the client's rules.
The platform is immediately available for customer engagements across eight core verticals, including utilities, manufacturing, logistics, and healthcare. Vijay Narayan, Global Head for Physical AI at the firm, stated that the differentiator "is the discipline to connect what physical systems observe, reason about it, act on it and keep that intelligence owned and governed by the enterprise."