A quick look at how Graveiens AI partners with teams to deliver human data for AI models.
From driver monitoring to 3D road perception, we build and label the data automotive AI teams need.
Autonomous and assisted-driving systems depend on vast, precisely labelled datasets that reflect the messy reality of the road. Graveiens AI collects and annotates in-cabin and external automotive data — images, video, LiDAR point clouds and multi-sensor streams — so your perception, ADAS and driver-monitoring models learn from accurate, real-world signals.
We adapt annotation tooling and guidelines to your ontology, from 2D boxes and lane markings to 3D cuboids and semantic segmentation, and hold every batch to a measured accuracy bar through our four-stage review.
Talk to our automotive data teamPerception, in-cabin and sensor-fusion data for vehicle AI.
2D/3D annotation of vehicles, pedestrians, signs, lanes and road scenes for object detection and segmentation.
Gaze, drowsiness, gesture and occupant labelling for cabin-safety and infotainment models.
3D point-cloud cuboids and fused camera-LiDAR-radar labelling for autonomy stacks.
Edge-case and event tagging that strengthens models on rare, safety-critical situations.
Representative programmes our automotive data services support.
Perception training data for detection, tracking and free-space estimation.
In-cabin imagery labelled for attention, distraction and identity.
Lane, sign and landmark annotation for localisation and mapping.
In automotive AI a mislabelled frame can become a safety issue, so we combine trained annotators, expert review and gold-standard checks on every batch. Consent and privacy are handled up front for in-cabin data, and you are invoiced only for approved deliverables — so you can pilot with confidence before scaling.
Start an automotive pilotHow our automotive AI data services compare with other providers on coverage, 3D and QA.
| Provider | Core focus | Modalities | QA / accuracy approach | Engagement model |
|---|---|---|---|---|
| Graveiens AIUs | Automotive AI data — in-cabin, road, 3D and driver-monitoring | Image, video, 3D/LiDAR, audio | Automotive-grade QA vs a gold standard, ISO 9001:2017 | Pay-on-approval pilots, managed programs |
| Macgence | Autonomous driving data services | Image, video, 3D/LiDAR | Managed crowd with human QA | Project-based managed teams |
| Cogito Tech | AV data annotation | Image, video, 3D | Human-in-the-loop QA | Managed teams |
| Shaip | In-cabin and driver-monitoring data | Image, video, audio | Domain-expert QA | Off-the-shelf datasets plus services |
| iMerit | 3D and LiDAR perception annotation | Image, video, 3D/LiDAR | Expert-in-the-loop QA | Dedicated managed teams |
| Sama | Vehicle sensor annotation | Image, video, 3D/LiDAR | 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.
Compliant in-cabin and road data handling.
Collection, annotation and validation together.
Consistency across frames and sensors.
Invoiced only for approved deliverables.
Send us a sample task. You only pay for deliverables you approve.
Book a pilot