We annotate 3D and multi-sensor data with the cross-sensor consistency perception models depend on.
LiDAR data annotation turns raw point clouds into the labeled 3D ground truth that autonomous driving, robotics and spatial-AI models learn from. Graveiens labels segmentation, 3D cuboids and drivable surfaces and fuses LiDAR with camera and radar so objects stay consistent across every frame and sensor. Trained annotators and SMEs work to your ontology, and a four-stage QA workflow with gold-set benchmarking keeps geometry and class labels accurate at scale. The same team supports autonomous-vehicle data annotation, image annotation and broader data annotation services, so a single vendor can cover your whole perception stack.
Start a LiDAR pilotCompliance-first delivery and a pay-on-approval model that de-risks every engagement.
QA that keeps 3D labels stable over time.
Fusion across LiDAR, camera and radar.
Compliant handling for automotive data.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
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