Autonomous driving and vehicle perception
Build a closed loop around 2D images, 3D point clouds, low-confidence fallback, human review, training/export, and delivery summaries.
2D images, 3D point clouds, video decoding, and KITTI/YOLO exports fit into one delivery loop.
Build a closed loop around 2D images, 3D point clouds, low-confidence fallback, human review, training/export, and delivery summaries.
Upgrade embodied-AI dataset work from one-off labeling into a reusable production asset with review, versions, delivery, and acceptance.
Support enterprise projects with secure access, review controls, delivery summaries, and private deployment options.
Start from uploads, API tasks, or automated jobs, then move through AI pre-labeling, human review, cloud training, export, and delivery without switching systems.
Manage manual uploads, API requests, and automated tasks in the same workflow so every project stays visible and organized.
Pre-labeling and automation move fast, while low-confidence items and key checkpoints return to the pro editor for human review.
Once review is complete, training, export, and model delivery continue automatically so customers do not have to stitch the flow together themselves.
The end result is not just a download link, but a traceable summary with metrics, versions, and delivery entry points.