The product connects to dbt projects and platform metadata to scan semantic models, metrics, lineage, tests, and release changes. It flags breaking changes, missing governance metadata, inconsistent metric definitions, and risky deployments, then produces approval workflows and release reports for data teams.

dbt has grown into a large analytics engineering platform with thousands of platform customers and tens of thousands of weekly teams, creating a larger surface area for semantic governance and release quality tooling. AI use cases increase the need for trusted, well-governed metrics.