Launch HN: Hebbian Robotics (YC S26) – Build scalable robotics data pipelines
Hebbian Robotics has launched HFlow, an open-source SDK designed to streamline data pipelines for robotics and physical AI. The tool aims to help teams of all sizes manage complex multimodal data, including video and sensor streams.
Why it matters
Data management is a significant bottleneck in robotics development; this tool aims to democratize professional-grade data infrastructure.
Open source SDK for scalable multimodal data pipelines in robotics and physical AI
Hebbian Robotics (YC S26) is building HFlow, an open source SDK for scalable multimodal data pipelines in robotics and physical AI. It makes data tooling and practices typically developed inside large robotics teams accessible to teams of any size.
We believe processing data is a major bottleneck in robotics. A corpus can combine video, state, actions, timestamps, and metadata from many recording systems. Teams often feel the problem first in quality control: determining whether cameras froze, streams drifted out of sync, required topics disappeared, or duplicate recordings entered the corpus. As the corpus grows, fragmented scripts make it difficult to know what ran, audit the results, or reproduce a dataset.
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