Data Management

Pantomath Secures $30 mn Series B to Boost Data Operations with Autonomous AI Agents

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Written by: CDO Magazine Bureau

Updated 5:21 PM UTC, Mon August 4, 2025

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AI-powered data operations platform Pantomath has raised $30 million in Series B funding led by General Catalyst to scale its vision of eliminating manual data operations using AI-driven automation. 

The round saw participation from existing investors Sierra Ventures, Bowery Capital, and Epic Ventures, along with Hitachi Ventures, Cintrifuse Capital, and Foster Ventures.

Founded in 2023, Pantomath aims to become the “Operating System for Data Operations” by combining real-time monitoring, traceability, and autonomous AI Data Reliability Engineer (DRE) agents. The fresh capital will accelerate product innovation, go-to-market strategies, and strategic hiring.

“Enterprises today grapple with highly manual and reactive data operations to support their data pipelines and analytics products. 74% of organizations rely on downstream end-users to discover data reliability problems, leading to isolated manual troubleshooting and incident management that according to a CDO survey takes 90% of organizations hours to weeks to resolve. Data downtime, unreliable data, and failure to meet SLAs are common occurrences in large enterprises” Somesh Saxena, Pantomath President and co-founder, said.

Quentin Clark, Managing Director at General Catalyst, has joined the Pantomath board. He said, “Enterprise data operations have remained stubbornly complex despite years of tooling. Pantomath is changing that with AI-native enterprise software that doesn’t just surface problems, it solves them. It’s a shift from systems-of-record to systems-of-work we’ve long envisioned.”

“Our current foundation of auto-discovered data health graphs that automates cross-platform data monitoring positions us well to expand beyond real-time detection of data issues into full self-resolution of incidents with autonomous AI DRE agents,” Shashank Saxena, co-founder and CEO of Pantomath, added.

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