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How Criteo uses Labelbox

40%

“a 40% gain in expert data delivery speed”

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

What happened

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.

From the page. labelbox.com, 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: 40%CheckedPrinted word for word on the page, near the name of Criteo.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Criteo.
  • Criteo 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.

8 seconds“with active learning and model-assisted workflows, the average dropped to 8 seconds”Advent Health Partners uses Labelbox. Another customer of Labelbox50%“cut average processing times to create training data by 50%”Blue River Technology uses Labelbox. Another customer of Labelbox70%“70% improvement in time savings for generating insights from images.”Burberry uses Labelbox. Another customer of Labelbox