Building the Future of Data Quality

Neomir was born from frustration. As data engineers at fast-growing companies, our founders experienced firsthand the pain of discovering data quality issues - usually at the worst possible time.

Month-end closes delayed by bad data. Dashboards showing wrong numbers. Customer communications failing because of duplicate records. The tools available were either too complex, too expensive, or required too much manual effort.

We started Neomir to build the data quality platform we wished we'd had: intelligent, proactive, and designed for modern data teams.

To make data quality monitoring proactive, intelligent, and accessible to every organization.

We're building a world where data teams can focus on insights rather than firefighting. Where business users can trust the numbers in their reports. Where data quality is a strength, not a liability.

We believe AI can transform how organizations manage data quality-not by replacing humans, but by augmenting their capabilities and catching issues before they become problems.