Avoiding Data Leakage in Synthetic Data Projects
Synthetic data offers vast opportunities for machine learning model training without real-world constraints. Yet, beneath this promise lies the risk of…
Read more →XDOF, founded in October 2024 by Philipp Wu, Fred Shentu, and Nemo Jin, builds data pipelines, collection tooling, and annotation systems for robot training data. It runs human teleoperation programs to capture manipulation demonstrations for AI labs and robotics companies, and released ABC-130K, an open bimanual-manipulation dataset developed with UC Berkeley’s AI Research lab. The company raised $70M and emerged from stealth in June 2026.
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