Proprietary Algorithms That Cover Nealy All Scenarios

Our 4D reconstruction technology utilizes diverse techniques to ensure data clarity and accuracy, meeting the stringent requirements of high-precision dynamic mapping and annotation.

Our automated algorithmic strategy improves corner case detection across images, videos, and text. This advanced function can be custom-tailored for detection models, prediction models, and large language models, pushing the boundaries of your model's capabilities.

Customized Multi-modal Models enable efficient multi-modal data retrieval in an open semantic environment, providing solutions to high-value data mining challenges.

Our advanced multi-modal diffusion models can create random and controllable data from limited inputs or text descriptions, enhancing data accuracy and solving corner case issues and model generalization challenges.

No more messy cables or complicated optimization processes! Our 2D & 3D auto-calibration algorithm fulfills all your requirements for high-precision mapping annotation and algorithm training.

The platform integrates active learning functionality, proactively mining high-value data to accelerate model convergence. Experimental evidence shows that achieving the same model effect can save up to 30% in annotated data volume.