Case Study: Xometry Saves Millions from Data Inaccuracies with Select Star

Select Star helps Xometry save millions of dollars from data inaccuracies

Xometry, an industrial marketplace helping engineers and product teams source custom manufacturing, struggled with data outages and unreliable reporting in its AI-based pricing platform. With complex data moving across systems, the team needed a way to trace where data came from and understand column-level lineage to maintain trust in its numbers.

Select Star provided automated column-level data lineage integrated into Xometry’s CI workflow, along with lineage APIs and visibility into downstream impacts. With Select Star, Xometry eliminated data outage issues, improved data quality before production, and saved over 200 hours for its data engineering team, while reducing debugging time by 36x and helping prevent costly inaccuracies that were estimated to cost millions each month.

Xometry

Jisan Zaman

Senior Data Engineer