Data Volume
Machine learning based anomaly detection monitoring for missing data with automated root-cause analysis
Data Freshness
Machine learning based anomaly detection monitoring for stale data with automated root-cause analysis
The World’s Leading Companies Trust Pantomath
Paul Bessire - Chief Data & Technology Officer
@ Coterie Insurance
“We have seen a 300% ROI from Pantomath in the first few months. We immediately know when a data issue occurs, exactly what happened and how to fix it. As a result, there is virtually no data downtime."
Rob Brichler - CTO @ Lendly
"Pantomath's end-to-end observability across the entire data stack has significantly reduced data downtime and increased trust in data at our company.”
Rick Huff - Chief Information Officer @ Paycor
"Pantomath effectively auto-discovers our data assets and visualizes the relationships across our data pipelines in real-time. Pantomath enables our teams to focus on building new solutions rather than getting bogged down in operational tasks. We’re seeing a significant uptick in productivity while ensuring our data is reliable and trustworthy."
Gary Meyer - Director of Data Management @ CNG Holdings
"Pantomath autonomously identified a critical data incident within a complex data pipeline used by thousands of our users. Thanks to Pantomath's data observability platform, our team was notified with a real-time alert and automated root cause analysis, enabling our team to resolve the incident without impact to end users."
Osng Kwon - VP of Infrastructure @ Coterie Insurance
"Pantomath provides the safety net that gives us confidence in our data."
Mark Knipfer - Senior Data Analyst @ Lendly
"Pantomath required zero setup! We had end-to-end cross-platform pipeline lineage and out of the box monitoring in minutes."
