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How Move AI uses Labelbox

2x

“moving 2x as fast in this domain and accelerating its go-to-market and product launches”

As published on labelbox.com. Captured by usedby on Oct 7, 2026.

What happened

Move.ai uses Labelbox's video processing interface, Python SDK and expert workforce to produce pose and spatial training data for its markerless motion capture and depth-keying models. The labeled data is then exported to TensorFlow or PyTorch for training.

Summary written by usedby from the source page, in English. The figures are those of Labelbox and Move AI, not ours.

Labelbox gave Move.ai fast iterations on its algorithms — moving 2x as fast in this domain and accelerating its go-to-market and product launches.

From the page. labelbox.com, captured Oct 7, 2026

What Labelbox has massively helped us with is fast iterations on our algorithms, helping us move twice as fast in this domain. The results we received from it are magnificent and their user interface is the best we’ve seen for supporting our training data efforts.

Mark Endemano, CEO of Move.ai, Move AI. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: 2xCheckedPrinted word for word on the page, near the name of Move AI.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Move AI.
  • Move AI uses LabelboxCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

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