TechCrunch AI · Published 2026-09-05

XDOF: turn real actions such as folding clothes into robot training data

People teleoperate robot arms or wear sensors while folding clothes. XDOF connects capture, processing and annotation to make those actions useful for robot training; funding talks provide the business background.

Source photo of XDOF robot arms manipulating a pen and cap
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Turn physical actions into training material

XDOF builds collection tools, data pipelines and annotation systems. TechCrunch describes remote operation of robot arms and people wearing sensors while doing tasks such as folding clothes or flattening boxes.

This material comes from physical actions and device interactions rather than text on the internet alone. The report describes an ABC robotics dataset collaboration with Berkeley’s AI research lab and plans to expand collection teams across regions.

Physical actions become data
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The $1.2B figure is a proposed valuation

The September 4 report cites people familiar with talks for an 8VC-led Series B at about a $1.2B valuation. XDOF had announced a $70M Series A in June. The new capital amount and whether the valuation includes it were unknown, and terms could change.

XDOF and 8VC had not responded to the report’s requests for comment. The figure describes reported funding talks, not money already raised.

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    Added robot-data collection methods and clarified that $1.2B is a proposed valuation.

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Added robot-data collection methods and clarified that $1.2B is a proposed valuation. Original event, discovery and collection dates remain.

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