Amperity has introduced 'Chuck Data', an artificial intelligence agent designed to streamline customer data engineering within Databricks environments. The AI agent is engineered to assist data engineers in managing customer identities efficiently by leveraging Amperity's patented identity resolution models. These models have been trained on billions of data sets from over 400 enterprise brands.

Chuck Data operates directly within the terminal, providing engineers with the capability to understand, tag, and resolve customer identities swiftly within their Databricks lakehouse. The AI agent is designed to facilitate 'vibe coding', enabling data engineers to execute complex engineering tasks through natural language prompts.

The AI connects seamlessly to Databricks environments, utilising native compute and large language model endpoints. This integration supports workflows such as identity resolution, compliance tagging, and data profiling. Key features of Chuck Data include a natural language command interface, identity resolution via Amperity Stitch, personally identifiable information (PII) tagging, customer profiling, and a zero-copy architecture.

Amperity has specifically built Chuck Data for Databricks, leveraging its expertise in identity resolution. The AI agent offers unlimited free Stitch on datasets up to one million records, with paid plans providing additional features and support.

Derek Slager, co-founder and CTO at Amperity, commented on the launch, stating, "Customer data engineering is full of repetitive, painful work, so we built Chuck to get rid of it. 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."

Amperity plans to demonstrate Chuck Data at the Databricks Data + AI Summit in San Francisco, scheduled from June 9 to 12. The company, founded in 2016, operates as a customer data cloud firm with offices in Seattle, New York City, London, and Melbourne.