Case Study: Pinterest powers its #1 AI agent with DataHub

Pinterest powers its #1 AI agent with DataHub, driving 10x usage and 70% less manual documentation

Pinterest, a major social media platform, faced a significant data context challenge. With 400,000 ungoverned data tables and institutional knowledge siloed among analysts, it was impossible to reliably trust data for accurate AI-powered analytics. This environment made finding trustworthy, current information a slow and manual process.

DataHub provided the solution as Pinterest's centralized context platform, called PinCat. The implementation enforced data governance to curate assets, used AI to generate documentation, and built a searchable index of analyst query history. This empowered Pinterest's Analytics Agent, which became its #1 internal AI tool with 10x the usage of the next agent. Results included cutting the time to get trusted answers from hours to minutes, a 70% reduction in manual documentation effort, and the distillation of 400,000 tables down to 100,000 governed, AI-ready assets.

Pinterest