Case Study: Criteo boosts expert data delivery speed by 40% with Labelbox

Criteo boosts signal delivery speed by 40% with Labelbox

Criteo, a leading ad platform, faced a challenge in scaling its AI-driven contextual advertising. Its Publisher Content Analysis team struggled to efficiently turn high volumes of unstructured image data into reliable signal for tasks like product identification and brand-safe page classification, managing workflows in spreadsheets without a unified system for expert feedback. To address this, they turned to the vendor Labelbox and its annotation platform.

Using Labelbox Annotate as a central data engine, Criteo connected its product and data science teams, streamlining the process of creating expert-reviewed training data. The solution cut down daily back-and-forth and provided a stable platform for secure, global collaboration. This resulted in an immediate 40% gain in signal delivery speed and comparable improvements in signal quality for Criteo's team, directly enhancing their model performance for contextual advertising.

Criteo