Laminar, an open-source observability platform for AI agents, has raised $3 million in funding as it looks to help companies better understand, debug, and optimize their AI systems at scale. The round was led by Atlantic, with participation from Y Combinator and AAL VC.
Founded by Robert Kim, Laminar is focused on providing visibility into how AI agents operate in production environments. As organizations increasingly deploy agents that execute complex, multi-step workflows, understanding their behavior and failure modes has become a critical challenge. Laminar’s platform enables teams to trace agent activity, diagnose failures, and identify patterns across millions of executions.
The company is already being used by organizations such as Browser Use, OpenHands, and others that rely on large-scale agent deployments. By surfacing insights into agent performance, Laminar aims to address a growing need for infrastructure that supports reliability and debugging in AI-driven systems.
The funding will support Laminar’s continued product development and expansion as demand rises for tools that provide transparency into AI agent operations. The company is positioning itself as a foundational layer in the emerging AI agent stack, where observability is becoming essential for moving from experimentation to production at scale.
KEY QUOTES
“Today I’m really excited to share that Laminar (YC S24) has raised $3M, led by Atlantic, with participation from Y Combinator and AAL VC. Laminar is how companies like Browser Use, OpenHands, Rye, and many others see what their agents are doing, understand why they fail, and spot patterns across millions of runs. We’re deeply grateful to Jared Friedman for believing into us from day 0 when nobody else did! Special thanks to Lukas Erbguth and Alice Bardon Catineau for being the most supportive and chillest VCs out there. Additional thanks to our angels Ant Wilson, Ben Sigelman, Todd Persen, Arman Suleimenov and Nurdaulet Bazylbekov.”
Robert Kim, Founder @ Laminar (YC S24)
