Hebbian Robotics open-sourced HFlow to clean up robot-training data
The two-person YC S26 team is turning experience from LionsBot, Jane Street and Verkada into a quality-control layer for robot data.
By RuntimeWire Staff · Published
Primary source: GitHub
Why it matters
Robot models depend on large, messy multimodal datasets. Hebbian Robotics is betting that quality checks, provenance and reproducibility can become a shared software layer rather than bespoke internal work.
On August 19th, Brandon Ong and Kingston Kuan announced HFlow, an open-source SDK for processing and checking the multimodal data used to train robots, through their 2026 startup, Hebbian Robotics.…