Data that teaches machines to see, move and decide.
Aulic AI builds precision 2D and 3D training data for perception and robotics teams: cuboids, segmentation, sensor fusion and managed QA, delivered under audit and NDA.
Four disciplines, one chain of custody.
Every programme runs through the same instrumented pipeline: taxonomy design, calibrated annotation, multi-pass review, and versioned delivery into your training stack.
2D Annotation
Bounding boxes, polygons, semantic and instance segmentation, keypoints and skeletal pose, OCR regions, and frame-consistent video tracking.
3D & Sensor Fusion
LiDAR cuboids with 4D sequence tracking, point-wise segmentation, camera, LiDAR and radar fusion, lane geometry and HD-map elements.
Robotics Data Operations
Teleoperation log curation, grasp and manipulation labelling, SLAM and odometry QA, failure-case mining, sim-to-real validation.
Managed QA & Taxonomy
Taxonomy and edge-case design, consensus scoring, statistical audit sampling, golden-set benchmarking, reviewer calibration.
Selected frames from live programmes.
Every frame below shipped through the same review chain: three independent passes, golden-set benchmarking, versioned delivery.
A model is only as disciplined as the data behind it. We treat every label as evidence: traceable, reviewed, and defensible.
Send us a sample. We will send back ground truth.
Fifty frames or one sequence is enough to scope, benchmark and price the programme.