Chemin

Chemin builds the data pipelines and reinforcement learning workflows behind autonomous vehicles, robotics and production AI agents, supported by domain experts across 18 markets. It works in four integrated layers: multi-sensor annotation for LiDAR, camera, IMU and ego-video with multi-stage QA, RLHF and RLVR workflows for agentic AI, continuous model monitoring with edge-case mining, and a data exchange offering AV sensor-fusion and robotics datasets in JSONL, HDF5, LeRobot or nuScenes schemas. The team describes a five-stage path from discovery through training, validation and deployment, with human experts kept in the loop to refine retraining.