Case Study: Procter & Gamble achieves enterprise-wide trusted AI data with Labelbox

Procter & Gamble expands enterprise AI with Labelbox over 3 years

Procter & Gamble, a Fortune 500 consumer goods company, needed to turn its vast proprietary unstructured data into trusted training signal for AI models. The challenge was stringent data privacy, full ownership, and transparency, as the data involved consumer information and valuable intellectual property from prototyping and manufacturing.

Labelbox provided the AI data platform solution after a rigorous market comparison. P&G kept its data in its own cloud, using Labelbox to manage annotation with internal and external contributors while maintaining full ownership and visibility. The result was accelerated model iteration and faster time to market. Starting with computer vision for defect detection, P&G expanded Labelbox to an enterprise-wide standard, producing AI training signal across all global business units.

Procter & Gamble