General Catalyst Leads $30M Round for Data Infrastructure Startup Pantomath

Pantomath just raised $30 million in Series B funding to expand its “operating system” for data operations. The Cincinnati-based startup says it has seen rising demand from Fortune 500 companies looking to automate manual data reliability work, problems that still cost large enterprises hours or days every time a pipeline breaks or a job silently fails.

The company’s pitch: most enterprise data teams rely on reactive processes and fragmented tools to manage increasingly complex systems. Pantomath aims to replace that manual work with software that can detect, diagnose, and eventually resolve issues without human intervention.

The idea took shape three years earlier, when co-founder Somesh Saxena was leading data and analytics at GE Aerospace. Supporting over 18,000 internal data users, his team struggled with frequent reliability issues across siloed platforms. He co-founded Pantomath in 2022 to address what he saw as a growing operational bottleneck in modern data infrastructure.

Automating Data Incident Response with AI Agents

Pantomath began as a data observability platform, offering real-time monitoring for issues like data latency, job failures, and anomalies across complex enterprise data stacks. Unlike traditional tools that flag quality issues within individual datasets, Pantomath maps full pipelines (jobs, dependencies, and lineage) across platforms, allowing customers to understand not just what broke, but where and why.