Industry · Automotive & AV

AV and ADAS systems need annotation data that reflects real-world road complexity

Autonomous vehicles and ADAS systems trained on narrow datasets miss road actors and conditions that exist everywhere outside of Western test environments. We annotate the scenarios that actually determine real-world performance.

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Complex road scenarios Western AV datasets miss
Three-wheelers, livestock crossings, unstructured intersections, and weather-degraded visibility for the road conditions that Western AV datasets systematically exclude and that real-world autonomous driving products must handle.
LiDAR + camera + video annotation with AI pre-labeling
SAM2 pre-annotation for images, ByteTrack for video object tracking, Open3D for point cloud processing for tooling that reduces annotation labor 50–70% while maintaining centimetre-level accuracy for AV datasets.
Per-class kappa scores on every AV delivery
Inter-rater agreement calculated separately per object class for vehicles, pedestrians, two-wheelers, environment-specific classes. Published in your data card on every delivery.
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AV Data AnnotationLiDAR Point CloudCamera PerceptionVideo TrackingSensor FusionComplex Road ConditionsSAM2 Pre-annotationByteTrackADAS Training DataAV Data AnnotationLiDAR Point CloudCamera PerceptionVideo TrackingSensor FusionComplex Road ConditionsSAM2 Pre-annotationByteTrackADAS Training Data
What the Pipeline Covers

Annotation infrastructure for every AV and ADAS use case

LiDAR point clouds, camera footage, and multi-sensor fusion data with the annotation infrastructure powering AV systems, ADAS products, and autonomous driving platforms at production scale.

LiDAR Point Cloud Camera Perception Video Tracking Sensor Fusion Edge Case Curation Lane Annotation 3D Bounding Box Radar Annotation
Complex road conditions mixed traffic annotation
Autonomous Vehicles

The annotation pipeline built for real-world road complexity

Three-wheelers, livestock crossings, unstructured intersections, and adverse weather with authentic complex-traffic annotation that Western providers cannot supply at scale.

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Capability 01
3D LiDAR & Point Cloud
Cuboid annotation, semantic segmentation, and ground plane classification for 3D LiDAR datasets with sensor-physics-aware labels that account for beam divergence, range falloff, and return intensity for production AV systems.
Capability 02
ADAS Camera Perception
Lane marking, traffic sign, pedestrian, and vehicle annotation for camera-based ADAS systems. Edge case curation, adverse weather scenarios, and SAM2-assisted segmentation with expert QA and published inter-rater kappa.
Capability 03
Sensor Fusion & Tracking
Cross-modal alignment of LiDAR, camera, and radar data with ByteTrack-assisted video tracking. Temporal consistency annotation across long sequences for multi-object detection and trajectory prediction models.
Concave AI · Data Infrastructure
Privacy First
GDPR Ready
AWS Encrypted Storage
NDA on Every Project
Domain-Expert Annotators
Published Kappa Scores

Ready to build better AI for Automotive & AV?

We evaluate 50 of your model outputs and return a findings report in 5 working days. No cost. No commitment.

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