Our Blog

January 29, 2026
Snowflake Ventures Invests in Pantomath

As part of this investment, Pantomath is deepening its integration with the Snowflake AI Data Cloud. Learn more...

March 3, 2025
Vndly co-founders join leadership team at fast-growing Mason-based startup

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

February 14, 2025
Pulse 2.0 Pantomath Interview

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

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From Lambda to Kubernetes: Re-Architecting the Pantomath Monitoring Bus

How Pantomath moved its Monitoring Bus off Lambda onto Kubernetes and Karpenter for tenant isolation and queue-depth scaling, with zero disruption to customers.

Builder
Observability & Traceability
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Pantomath's Purpose-Built AI Agents: Why We Replaced One Agent with a Team of Specialists

Pantomath rebuilt incident resolution around purpose-built AI agents: a fast triage step routes each data incident to a specialist grounded in your lineage.

Strategist
AI Readiness
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Snowflake Summit 26 Recap: The Agentic Enterprise and the Cross-Platform Gap It Leaves Open

Our team was onsite at Snowflake Summit 2026 and here's what stuck and where we think the story isn't finished yet.

Builder
Industry Trends & Research
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Rebuilding Lineage for Enterprise Scale

At enterprise scale, data lineage stops being a UI feature and becomes a systems problem. We rebuilt Pantomath's Lineage Explorer from the ground up, new renderer, new data layer, new layout engine, to handle thousands of nodes without breaking a sweat.

Builder
Engineering
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The Silent Killer of Enterprise AI: Why Your Agents Need a "Data Pulse"

AI agents trust whatever data they're handed and fail confidently when it's wrong. Pantomath gives them an upstream data health check before they act.

Builder
AI Readiness
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The Rise of the Data Reliability Engineer (DRE) and the Future of Data Operations

The DRE is becoming essential as data systems grow more complex. Learn how this role helps teams reduce incidents, speed up root cause analysis, and keep data on time and accurate.

Strategist
Automated Data Operations

It’s Time to Simplify, Automate, and Trust Your Data

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