YiRen builds a Physical AI data backbone that connects real-world industry scenarios with model training through data collection, annotation, management, and simulation evaluation.
Multi-source spatiotemporal data infrastructure across road networks, urban environments, and low-altitude airspace—powering autonomous driving, intelligent transportation, and the low-altitude economy.
Custom datasets and scenario libraries for autonomous driving, backed by nationwide collection to accelerate long-tail coverage, iteration, and compliance testing.
High-quality data takes embodied AI from lab to scale. YiRen covers collection, simulation, and scenario adaptation.
Physical AI data comes from the real world and is used to train and evaluate intelligent systems across traffic flow, road environments, robot motion, spatial perception, and multimodal sensors.
YiRen combines data collection, governance, annotation, security, platform management, and application development so high-quality real-world data can continuously support AI models and industry applications.
These services are designed for companies, research institutions, and ecosystem partners in autonomous driving, robotics, smart transportation, smart cities, the low-altitude economy, and spatial intelligence.
