The Latest Press Releases & News

Delivering End-to-End Data Observability and Automating Data Operations at Scale. This milestone signifies our joint commitment to helping organizations streamline their data operations and enhance the reliability of their analytics ecosystem.

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.

Pantomath's CEO and founder sits down to discuss the pillars of data observability, AI, and more on The Ravit Show at Snowflake Summit 2024.
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Delivering End-to-End Data Observability and Automating Data Operations at Scale. This milestone signifies our joint commitment to helping organizations streamline their data operations and enhance the reliability of their analytics ecosystem.

Shashank Saxena, who founded Vndly in 2017, has joined a Mason-based startup as its new CEO.

Pulse 2.0 interviewed Pantomath founder Somesh Saxena to learn more about the company and what to expect.
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Delivering End-to-End Data Observability and Automating Data Operations at Scale. This milestone signifies our joint commitment to helping organizations streamline their data operations and enhance the reliability of their analytics ecosystem.

Shashank Saxena, who founded Vndly in 2017, has joined a Mason-based startup as its new CEO.

Pulse 2.0 interviewed Pantomath founder Somesh Saxena to learn more about the company and what to expect.

In this episode of the Digital CxO Leadership Insights Series, host Mike Vizard interviews Somesh Saxena, CEO of Pantomath, about the challenges and opportunities in achieving data observability.

Somesh Saxena featured in Data Center Knowledge's Trends and Predictions for 2025

Somesh Saxena featured in APM Digest's 2025 DataOps Predictions: Real-time data observability is going to become critical and organizations will need to ensure real-time observability of data in motion.