Automated Quality Assurance for Billion-Row Datasets

Manually auditing a database with billions of rows is impossible. We developed an automated QA suite that runs continuously against our data lake, identifying statistical outliers that indicate potential data corruption or reporting errors.

Heuristic Record Validation

Our checkers look for logically impossible data - such as a vehicle having an odometer reading lower than its previous report - and automatically flag these records for human-in-the-loop review before they hit our public API.