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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.
A Cincinnati startup has raised its second pool of venture funding since launching last year, and the round stands as one of the largest in the region in 2023.
Pantomath Inc., a data pipeline observability and traceability platform, announced today that it completed $14 million in Series A funding in early September led by Silicon Valley-based Sierra Ventures and included Series Seed investors Bowery Capital and Epic Ventures.
The World’s Leading Companies Trust Pantomath
CIOs and CDOs are blindsided by massive hidden costs in their data investments — and they’re not what you'd expect.
Funding accelerates the company’s mission to eliminate manual data operations by combining real-time monitoring, traceability and agentic AI to boost enterprise data reliability at scale.
Automated data operations are far more than just a way to boost efficiency. They're the very foundation for harnessing the power of AI and the journey doesn't start with tools and agents, it starts with giving agents access to reliable, trustworthy data – 100% of the time.
The partnership between Alation and Pantomath now integrates native metadata-driven data quality capabilities with end-to-end pipeline observability, creating a foundation for trusted data ecosystems.
This collaboration builds on the newly launched Alation Data Quality (DQ) Agent, further strengthening the ability of enterprises to govern, observe, and trust their data across the entire ecosystem.
While much attention focuses on data quality issues and pipeline failures, the simple failure of a job to start can trigger catastrophic downstream effects.
