Why building Dynamic Intelligence as the backbone of physical agents

The world is experiencing profound labor and operational shifts: manufacturing plants, logistics hubs, warehouses, healthcare facilities and service-centres all face growing pressures, from aging workforces, rising wages and supply-chain disruptions to the need for 24/7 monitoring, resilience and cost efficiency. According to the International Federation of Robotics, global industrial robot installations exceeded 4.66 million in 2024, and demand continues to climb as companies push for flexibility and autonomy in unstructured environments.

Moving agents—robots that roam, manipulate, sense and adapt, rather than being fixed in one spot—are uniquely positioned to fill this gap. They not only execute tasks but continuously collect, process and act on data in physical environments (warehouse aisles, hospital corridors, inspection zones) in real-time. That dual capability of being both a physical mover and a data node enables a step-change: enterprises get hardware, software, analytics and autonomous operations bundled into one. This is critical because automation is no longer just about replacing repetitive tasks; it’s about embedding intelligence into workflows so that operations become self-optimizing, predictive and resilient.

Besides, the market opportunity is massive and accelerating. Service-robot and mobile-robot segments are seeing ~30% year-on-year growth globally, particularly in sectors like logistics, last-mile delivery, inspection and maintenance. As moving agents proliferate, each one becomes a data platform: sensors + compute + connectivity = real-time intelligence at the edge.

Data generated by fleets of moving agents becomes a strategic asset, from predictive maintenance to new business models such as robot-as-a-service and data-driven service contracts. Moreover, agentic AI, or the systems that can autonomously sense, decide and act, is shifting from theory to practice in enterprise settings. By focusing on moving agents globally, we are positioning Dynamic Intelligence at the nexus of hardware, AI, data and operational transformation. We believe this convergence will unlock multi-trillion-dollar value as physical automation and digital intelligence merge, and moving agents are the gateway.