# 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](https://labelbox.com/customers/move-ai-customer-story/). Captured by usedby on 2026-10-07.

- Company: [Move AI](https://www.usedby.ai/companies/move-ai.md)
- Tool: [Labelbox](https://www.usedby.ai/tools/labelbox.md)

## What the story says

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.

> 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

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 2x is printed word for word on the page, near the name of Move AI.
- Checked: the passage quoted above is copied word for word from the page, near the name of Move AI.
- Checked: Move AI uses Labelbox. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/move-ai-labelbox · How we check: https://www.usedby.ai/methodology