Data teams build good models in Databricks, and then the output sits in a table nobody outside the team opens. Chamfer puts it in front of the people who decide what to do with it. Describe the tool and the Bench builds it on your Unity Catalog tables: a markdown planner that reads waste forecasts, a gearbox-wear list for maintenance crews, a fraud review queue ranked by model score.

Chamfer connects to a SQL warehouse as a service principal, so catalog grants and column masks apply as they do everywhere else. When people correct a prediction or approve an action, the app writes it to a feedback table your data team can use in the next training run. Jobs can trigger on new rows and notify the right person in Slack. Everything runs through a SQL warehouse you size and pay for.