A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
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 AI 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 pilotPerception systems that fuse camera, LiDAR and radar need training data that is precise in three dimensions and consistent across sensors. Graveiens AI delivers LiDAR and sensor-fusion annotation — 3D cuboids, semantic segmentation and cross-sensor object linking — so your autonomy and robotics models learn accurate spatial signals.
We adapt tooling and guidelines to your sensor stack and ontology, and hold every batch to a measured accuracy bar through our four-stage quality workflow.
Talk to our 3D data teamFrom point-cloud cuboids to fused multi-sensor scenes.
Object cuboids with orientation and track IDs across LiDAR frames.
Point-level segmentation of road, terrain, structures and dynamic objects.
Linking objects across camera, LiDAR and radar for robust perception.
Rare-scenario and event labelling for safety-critical training.
Representative programmes our LiDAR services support.
Perception data for detection, tracking and free-space.
3D data for navigation and obstacle avoidance.
Point-cloud labels for HD maps and localisation.
3D labels are demanding — small errors compound into perception failures. We combine trained 3D annotators, expert review and gold-standard checks across sensors, and invoice only for approved deliverables, so you can validate quality before scaling.
Start a 3D data pilotHow our LiDAR annotation and sensor-fusion services compare with other providers on 3D coverage and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | LiDAR annotation, point-cloud labeling and multi-sensor fusion | 3D point cloud, image, video | Cross-frame QA vs a gold standard, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | 3D point-cloud annotation | 3D point cloud, image | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | Sensor-fusion 3D annotation | 3D point cloud, image, video | Human-in-the-loop QA | Managed teams |
| Shaip | 3D and sensor data annotation | 3D point cloud, image | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | Geospatial 3D annotation | 3D point cloud, image, video | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | 3D point-cloud annotation | 3D point cloud, image | SamaAssure QA | Managed workforce |
| Surge AI | Multimodal data for LLMs | Text, image, dialogue | Expert human raters | API plus managed service |
Compliance-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.
Book a pilot