Let’s set the scene. Cincinnati, Ohio. March 2022. Two brothers who’d spent years wrestling with the fragile guts of enterprise data at GE Aerospace decide they’ve had enough of playing whack-a-mole with broken pipelines. Shashank Saxena and Somesh Saxena knew the pain: brittle systems, manual triage, and the constant dread that one bad query could crater a business report before breakfast. They didn’t just want better monitoring. They wanted self-healing data infrastructure. And so, Pantomath was born, because in the theater of DataOps, someone had to know the whole play.
Fast-forward to now. Pantomath just locked in a $30 million Series B led by General Catalyst, with Sierra Ventures, Bowery Capital, Epic Ventures, Hitachi Ventures, Cintrifuse Capital, and Foster Ventures all in the mix. That’s not just capital, it’s validation that autonomous DataOps is no longer a wish-list item. It’s a market imperative. These funds will fuel deeper R&D on Pantomath’s autonomous Data Reliability Engineer agents, expand go-to-market muscle, and sharpen the edge for regulated industries like finance and healthcare where downtime isn’t just costly, it’s catastrophic.
The results so far? Fortune 500 companies are already trusting Pantomath with over a thousand active data pipelines. WEX chopped incident resolution time from days to minutes. Paycor, Lendly, Coterie Applications, and even Total Quality Logistics have felt the lift. The platform stitches together data health graphs, maps lineage across clouds, integrates with the heavyweights, Snowflake, Databricks, BigQuery, Kafka, and does it in real time. When a pipeline buckles, Pantomath’s AI doesn’t just point fingers. It fixes it, logs it, and gets back to work.
The leadership bench is stacked. Shashank Saxena steering the vision. Somesh Saxena driving growth. Jeremy Gaerke as CTO engineering the product heartbeat. Brian Duerring keeping operations tight. Narayan Surabhi pushing the platform’s boundaries. It’s a crew built for scale, not for comfort. And the Series B means hiring 50+ engineers and data scientists to keep the pace blistering.
In an industry projected to top $4 billion by 2028, Pantomath isn’t trying to own a piece of the DataOps pie, they’re automating the bakery. Because when your data pipelines can see trouble coming, explain it, and fix it before your team’s morning coffee? That’s not just smart. That’s power. And in the enterprise game, power wins.
