Recently, at the "AI Commercial Landing Forum" of 2025 WAIC World Artificial Intelligence Conference,YIU Think Tank releasedthe "2025 China AI Commercial Landing Application Value Research Report" (hereinafter referred to as the "Report").
The Report comprehensively presents the latest observations of industry authorities on AI commercial landing, in-depth analysis ofthe upgrading of the AI technology ecosystem and the penetration effect of its application, andcomprehensively evaluates the strategic value of enterprises from multiple dimensions, such as revenue and business growth rate, capital and market attention, product and service capability, and scenario landing capability, etc., andselectsthe "2025 China AI Enterprises Commercial Landing List".
KUSA Technology, with its AI-driven urban service robots and large-scale landing capability, was successfully selected as one of the "Top 20 Decision-making AI Enterprises with Commercial Landing in China", which not only gained authoritative recognition from the industry, but also reflected the affirmation of the market and capital on its continuous growth potential and investment value.
As aleading enterprise in the field of urban service robots, KUSA Technology hasachievedmulti-scenario deployment and operationin11 provinces and 30+ regions, such asurban open roads, parks/scenic spots, parks/campuses, ports, airports/high-speed railway stations, etc., and formed a replicable and scalable landing model. In practical application, KUSA Technology has built awhole-link systemcovering"perception-decision-execution-feedback"around the operation and management of unmanned cleaning robot clusters. The unmanned cleaning robots are equipped witha multi-modal perception systembased onvisual AI, which canaccurately sense the road environment, identify surrounding obstacles, andautomatically plan paths to ensure safe and stable operation. Intelligent cloud control platform will be through thecollection and analysis of real-time data, combined with meteorological changes, seasonal rubbish types and other multi-dimensional parameters, dynamically generate the most adaptive to the current environment of the operation programme and send the robot to execute, while the robot's operational data will be transmitted back to the cloud in real time, and continue to promote the optimization of the cloud model and the iteration of the strategy, sothat the more robots are used, the more "smart". "The more robots are used, the smarter they become. In the future, KUSA Technology will rely on solid engineering capabilities and data-driven continuous optimisation to create a more efficient, smarter and greener urban service system, and help promote the development of smart cities in the direction of refinement and sustainability.
