Our Blog
Take a deep dive into the The 5 Pillars of Data Observability, and End-to-end data observability.
Learn about the data lineage challenges and how data pipeline traceability can provide a complete understanding of the data's journey to improve quality and reliability.
Here’s the uncomfortable truth: the way most organizations manage data incidents in ServiceNow is broken. Pantomath's Somesh Saxena gives his thoughts.

Shashank Saxena, Pantomath CEO, unpacks what’s really behind AI’s 95% failure rate — and why it has nothing to do with model accuracy.

Gartner has released it's Market Guide for Data Observability Tools for 2024

Cincinnati's startup scene is exploding, with a healthy year-over-year growth in new businesses. This surge is fueled by a unique blend of factors – a seasoned workforce from Fortune 500 companies, a vibrant entrepreneurial spirit, and a city actively fostering innovation.
The World’s Leading Companies Trust Pantomath
Learn about who should share ownership and responsibility for data quality and reliability in an organization from Craig Smith, Pantomath's VP of Customer Experience.
Data quality and reliability is paramount to the success of modern-day organizations. Data quality issues can lead to significant business disruptions, poor decision-making with bad data, and overall lack of trust in data. Learn about Pantomath's unique approach to data quality.
Learn how a data leader at a large enterprise created a purpose-built platform for data teams to address bad data through end-to-end data observability and cross-platform pipeline traceability for ultimate data reliability.
Learn about the data lineage challenges and how data pipeline traceability can provide a complete understanding of the data's journey to improve quality and reliability.
Take a deep dive into the The 5 Pillars of Data Observability, and End-to-end data observability.
Pantomath Raises $14 Million in Series A Led by Sierra Ventures to Accelerate Development of Data Pipeline Observability and Traceability Platform