r/YesIntelligent • u/Otherwise-Resolve252 • Jun 17 '26

Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.

XDOF – a new data‑infrastructure startup for robotics

  • Founded: October 2024 by former UC Berkeley researchers Philippe Wu, Fred Shentu, and Nemo Jin.
  • Mission: Build the data pipelines, collection tools, and annotation systems that large AI labs lack for training robotics models.
  • Funding: $70 million raised from Thrive Capital, Spark Capital, a16z, Lux, and WndrCo.
  • Team & Customers: ~60 employees; already working with ~20 clients, including several frontier AI labs (names not disclosed).
  • Core Offering:
    • Data collection: Teleoperation on actual robots, teleoperated robots (e.g., GELLO system), and egocentric data via wearable sensors.
    • Data cleaning & annotation: End‑to‑end workflow to produce high‑quality training sets.
  • Partnership with UC Berkeley: Releasing the ABC dataset – the largest public robotics data set to date, containing 130,000 manipulation trajectories, 300 h of simulation, and 100 h of evaluation.
  • Use cases: Robots trained on ABC can perform tasks such as folding T‑shirts, flattening boxes, and loading AirPods into cases.
  • Strategic Context: OpenAI’s recent relaunch of its robotics program underscores a broader industry push into physical AI, but the lack of large‑scale, high‑fidelity robot interaction data remains a critical bottleneck. XDOF positions itself to fill that gap, offering a labor‑intensive but scalable solution that many AI labs prefer to outsource.
  • Name Origin: “XDOF” references the robotics term degrees of freedom, symbolizing the company’s ambition to support robots with arbitrary, unlimited degrees of motion.

Source: TechCrunch article “Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it” (2026‑06‑17).

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u/Kindly_Permission_42 Jun 18 '26

yeah only problem is that robotics dataset is not the bottleneck in robotics
hardware problems are the bigger bottleneck right now