Amperity Launches Chuck Data, AI-Powered Customer Data Engineering in Databricks

Amperity Launches Chuck Data, AI-Powered Customer Data Engineering in Databricks

Amperity has introduced Chuck Data, the first AI agent specifically designed to streamline customer data engineering directly within Databricks environments. Chuck leverages Amperity’s patented identity resolution engine-trained on billions of records across more than 400 enterprise brands-to enable data engineers to “vibe code” customer data pipelines using natural language prompts, significantly reducing manual scripting and error‑prone workflows. Chuck connects to Databricks compute and Unity Catalog to accelerate key functions like identity resolution, PII tagging, data profiling, and compliance, all without moving data outside your lakehouse.

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“Customer data engineering is full of repetitive, painful work, so we built Chuck to get rid of it,” said Derek Slager, co‑founder and CTO of Amperity. “Chuck understands your data and helps you get stuff done faster, whether you’re stitching identities or tagging PII. No orchestration, no UI gymnastics-it’s just fast, contextual, and command‑driven.” Available now in research‑preview mode, Chuck offers unlimited free identity resolution for datasets up to 1 million records (with credits for larger volumes), while paid plans unlock enterprise‑grade performance and support. The offering will be showcased at the Databricks Data + AI Summit in San Francisco, June 9-12, demonstrating how Chuck can resolve millions of identities and build transparent customer graphs-making it a transformative tool for accelerating business‑ready customer data insights.

Read More: Amperity Launches Chuck Data, the First AI Agent Built for Customer Data Engineering in Databricks