Laminar Raises $3M Seed Round Led by Atlantic.vc To Expand AI Agent Observability

Founded by Robert Kim (CEO) and Dinmukhamed Mailibay (CTO), Laminar is building observability tools specifically for AI agents, designed to handle long-running sessions, thousands of spans, and browser session replays.

With a single line of code, Laminar captures every LLM call, tool usage, and function execution. For browser agents, it records sessions and syncs them with traces showing exactly what the agent saw when making decisions.

Its Signals feature uses AI to surface failure patterns and anomalies at scale while the Agent Debugger lets developers rerun agents from any step, preserving full context for faster iteration and continuous improvement.

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The funding will accelerate Laminar’s product development and go-to-market expansion as AI agents move from prototypes to production at scale.

According to Robert Kim, CEO, Laminar: "When your agent fails 40 minutes into a task, today's tools show you a wall of thousands of spans and say 'good luck.' We built Laminar so you can pinpoint the exact decision that went wrong and rerun from that point."

Since its 2025 launch, Laminar counts Browser Use, OpenHands, Rye.com, and Alai among its customers. Its SDK is fully integrated into OpenHands’ software agent and benchmarking infrastructure, and serves as the default observability solution in Browser Use’s documentation.

Several companies have chosen Laminar over incumbent platforms specifically for its Signals feature, and at least one well-funded AI company has built a similar in-house capability, validating that agent-native observability is emerging as a critical layer in the AI stack.

"Robert and Din are technically exceptional and deeply customer-obsessed. Agent observability is a critical infrastructure layer for the next generation of AI, and Laminar has the right architecture to own it,” shared Lukas Erbguth, Principal at Atlantic.vc