Post by Databricks

YipitData scaled beyond manual tagging by embedding AI agents directly into its pipelines. Instead of maintaining hundreds of regex rules, agents now interpret messy transaction data with context that mirrors human judgment. This expanded coverage from ~3,000 to 60,000+ companies in a single quarter and reduced processing time from 24 hours to about 1 hour per million records. All of this runs within its existing data platform, so data stays governed while pipelines scale. Learn how YipitData is enabling faster insights and new AI-driven products. https://lnkd.in/gpewTV3Y