# How Criteo uses Labelbox

**40%**: “a 40% gain in expert data delivery speed”

As published on [labelbox.com](https://labelbox.com/customers/criteo-customer-story/). Captured by usedby on 2026-10-07.

- Company: [Criteo](https://www.usedby.ai/companies/criteo.md)
- Tool: [Labelbox](https://www.usedby.ai/tools/labelbox.md)
- Industry: [Advertising & AdTech](https://www.usedby.ai/companies/industry/advertising-adtech.md)
- Teams: Publisher Content Analysis, Product, Data Science

## What the story says

Criteo uses Labelbox Annotate as a data engine to produce expert-reviewed training signal from unstructured image data. This supports background removal for better product identification and classifying whether a web page is safe (age-appropriate) for brand-safe ad targeting.

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

> Criteo's Publisher Content Analysis team immediately saw a 40% gain in expert data delivery speed and comparable gains in signal quality.

## What usedby checked

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

- Checked: the figure 40% is printed word for word on the page, near the name of Criteo.
- Checked: the passage quoted above is copied word for word from the page, near the name of Criteo.
- Checked: Criteo 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/criteo-labelbox · How we check: https://www.usedby.ai/methodology