AI Robotics Data Annotation — 100× Faster Than Human Labelers.
KineTrace processes raw sensor data (MCAP, ROS bag, HDF5, RLDS) into training-ready labels with physics-layer detection. Under 2 minutes per 10-minute clip at $75–100, vs. $1,000–6,000 with human annotators.
Three Steps to Training-Ready Data
Upload
Drop in MCAP, ROS bag, HDF5, or RLDS files. KineTrace accepts all standard robotics data formats — no preprocessing, no conversion scripts needed.
Annotate
4D temporal-spatial analysis detects micro-slips, torque anomalies, and friction transitions invisible to human annotators — in under 2 minutes per 10-minute clip.
Export
Training-ready outputs directly to RT-2, Octo, OpenVLA, PyTorch, TensorFlow, or JAX. Plug in and train immediately.
KineTrace vs Scale AI / CVAT / Labelbox
| Capability | KineTrace | Scale AI / CVAT / Labelbox |
|---|---|---|
| Annotation method | Fully automated AI | Human labelers |
| Speed per 10-min clip | Under 2 minutes | Hours to days |
| Cost per 10-min clip | $75–100 | $1,000–6,000 |
| Physics-layer detection | Micro-slips, torque, friction | Not possible |
| Native formats | MCAP, ROS bag, HDF5, RLDS | Limited / requires conversion |
| Export targets | RT-2, Octo, OpenVLA, PyTorch, TF, JAX | Generic labels only |
Start Annotating Your Robotics Data
Send us a sample clip and we'll turn it around in minutes. Physics-layer insights your labelers can't produce — at a fraction of the cost.
Or visit agenticconvergent.com to learn about Aurevix — our no-code robot programming platform.