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.
The company will invest in product development, go-to-market expansion and hiring.
Enterprises don't need yet another tool for humans to do this work. They need the work done. That's why we're leading Pantomath's $30 million Series B round.
Why it matters: Enterprises are still hindered by siloed data stacks and a lack of visibility, even as data explodes and their reliance on it increases.
The World’s Leading Companies Trust Pantomath
Data operations don’t fail because of tools, they fail because they’re fragmented. A unified scheduling view brings order, reliability, and confidence - see how.
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Data reliability issues start earlier than you think. Learn why observability at ingestion is the foundation of trust and how proactive monitoring and automation change the game.
Bring Your Own Catalog (BYOC) and connect it with operational observability of our Job Catalog. The result is a complete view that combines business meaning with operational reliability.
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.
