Case Study: Scribd achieves higher sign-ups and lower AI costs with Databricks

Scribd, Inc., transforms user engagement with AI-powered search

Scribd, a global content platform with more than 250 million pieces of user-generated documents, presentations, audiobooks and eBooks, was struggling with fragmented data workflows, limited content insights and scaling challenges as its content library grew. The company turned to Databricks to unify its data and AI stack and support faster GenAI development.

Using Databricks, Scribd implemented AI-powered metadata generation, smarter search and content-trust features that improved discoverability and user experience. The results included a 7% increase in new user sign-ups, a 7% reduction in churn, and more than 90% lower costs for running large language models, while also cutting prototype-to-production time from months to weeks.

Scribd

Mike Lewis

Sr. Director of Product Management