The push to apply agentic AI in enterprise settings continues to gain traction, with Cincinnati-based Pantomath netting $30 million in a Series B round it says will bolster its AI-powered automated data operations platform. The approach typifies a growing industry shift toward AI systems that can take direct action—rather than act as passive analytics or alerting tools—particularly in areas like IT operations, cybersecurity, and data management.
The company says its platform extends beyond traditional data observability to what it calls an “Operating System for Data Operations,” designed to detect and resolve data reliability issues automatically. According to Pantomath, many organizations still rely on downstream end users to flag problems, leading to slow troubleshooting and missed service level agreements.
“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,” said Shashank Saxena, co-founder and CEO of Pantomath.
The round was led by General Catalyst, with participation from existing investors Sierra Ventures, Bowery Capital, and Epic Ventures, along with Hitachi Ventures, Cintrifuse Capital, and Foster Ventures. The new funding follows a $14 million Series A in late 2023.