Each capability runs the same instrumented pipeline: taxonomy design, calibrated annotation, multi-pass review, versioned delivery. Accuracy is reported, not claimed.
Image and video labelling at production volume: bounding boxes, polygons, semantic and instance segmentation, keypoints and skeletal pose, OCR regions, and frame-consistent tracking across long sequences.
LiDAR cuboids with 4D sequence tracking, point-wise segmentation, camera, LiDAR and radar fusion, lane geometry and HD-map elements, plus calibration sanity checks before labelling starts.
For embodied systems: teleoperation log curation, grasp and manipulation labelling, SLAM and odometry QA, failure-case mining, and sim-to-real validation loops run alongside your training cadence.
Taxonomy and edge-case design, consensus scoring, statistical audit sampling, golden-set benchmarking and reviewer calibration, reported per delivery batch so regressions surface before your training run.
