Our Blog

August 6, 2025
Observability Platform Pantomath Secures $30M Series B

The company will invest in product development, go-to-market expansion and hiring.

September 30, 2024
Execs Exchange Data Observability Experience at CDO Magazine Pre-Summit Dinner

Data, analytics, and AI executives gathered to connect and examine the role of data observability in monitoring and maintaining data quality at the CDO Magazine Pre-Summit Executive Boardroom Dinner.

September 15, 2024
The Next Generation of Data Reliability & Trust - Inside Analysis

Somesh Saxena, on Inside Analysis with Eric Kavanagh to discuss the evolving landscape of data observability and how Pantomath is driving the next generation of data reliability and trust.

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Data in Motion Series, Part 1: What is Data in Motion?

Traditional platforms treat data as a static resource which no longer works for today's data demands. Learn more about the importance of monitoring BOTH data at rest and data in motion.

Builder
Observability & Traceability
Why Data Observability is Essential for Generative AI (GenAI)

Discover the real-world benefits and how companies can optimize GenAI applications by implementing robust data observability practices.

Strategist
AI Readiness
Why Most Data Observability Platforms Fall Short

In boardrooms across the globe, executives are grappling with a painful truth: the data tools they've invested in aren't delivering on their promises. Learn why in this blog.

Strategist
Observability & Traceability
The 5 Most Common Data Management Pitfalls

There are five common mistakes that teams often make on their journey toward data observability. Learn how to avoid them!

Operator
Incident Management
10 Essential Metrics for Effective Data Observability

You can’t simply implement data observability and then hope for the best. Learn about the top 10 essential metrics to make your business thrive.

Builder
Observability & Traceability
The Evolution of Data Quality: Why Data Observability is Key

Data quality has a long history, dating back at least to mainframes in the 1960s. Learn about the path Data Quality has taken, and where it's headed.

Strategist
Data Reliability

Automated data operations across your data stack