JINGSHUO solves the toughest challenges in robotics with its integrated platform and comprehensive data services—enabling your team to build smarter, faster, and more agile robotic systems. From data collection to model deployment, we deliver the technology and expertise that robotics leaders trust.
Access our extensive collection of robotics datasets for faster and more cost-effective development
Deploy our field-proven VLA, LiDAR, and camera-based models that are capable of further fine-tuning
Capable of further fine-tuning to meet any requiremenUtilize our data labeling platform equipped with specialized tooling for robotics labeling and 3500+ global expert annotators
Customizable through our data collection, labeling, and syntehsiAccelerate your robotics development with our one-stop platform that streamlines your data pipeline and enables end-to-end data management
A global leader in robotics faced a critical challenge in acquiring high-quality, domain-specific training data. To advance its robotics models, the company required over 1,000 hours of data from real-world household environments. Furthermore, the complexity of multimodal data types and the need for accurate scene-level annotations made the project even more demanding.
To meet this challenge, JINGSHUO delivered over 1,000 hours of teleoperated data from realistic household scenarios, capturing synchronized RGB-D images, LiDAR point clouds, force-torque signals, joint data, and more. We ensured data accuracy through rigorous validation and provided scenario description annotations to support the development of context-aware robotics models.
JINGSHUO’s high-quality, validated datasets enabled the company to scale its robotics training pipeline quickly and cost-effectively. Our end-to-end data services accelerated model development, enhanced real-world performance, and significantly reduced the time and resources required for data collection and labeling.
Our end-to-end data loop platform seamlessly integrates multi-source data, automates processing, and accelerates model development—delivering proprietary, production-grade datasets at scale.