The data infrastructure layer for robotics and AI. Compression, quality scoring, annotation, and high-speed dataloading, running entirely inside your server.
Don't let your best engineers do data janitorial work. Let them focus on making models better. Let Knonik handle the plumbing.
Accepts rosbag, HDF5, MP4, LeRobot v2, LeRobot v3, Zarr, and live sensor streams. Normalises everything into a unified schema automatically.
100–150× size reduction on your raw robot data while preserving every bit of learning signal your model needs.
AI quality gate that flags failed tasks, noisy trajectories, and duplicate episodes before they reach training.
Vision-language model watches each episode and writes task descriptions, object labels, and phase annotations. No labellers needed.
Interactive dashboard to browse every episode, watch video alongside joint trajectories, and explore quality scores.
4.3× faster per epoch than standard LeRobot v3. Parallel decoding and shared-memory IPC keeps your GPU from ever waiting.
We benchmarked Knonik against standard tooling on real robotics data. Compression quality verified across three policy architectures. DataLoader performance measured end-to-end.