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Understand why your AI agent breaks. Iterate fast to fix it.
Laminar is open-source observability for AI agents. Trace complex workflows, replay and debug agent runs, and detect anomalies across trajectories at scale.
Co-founder and CEO @ Laminar (lmnr.ai). Previously, I interned at Palantir where I built semantic search package which now powers many internal AI teams and worked on resource allocation engine at core infrastructure team. I also interned at Bloomberg where I scaled market tick processing pipeline by 10x to 10M ticks/s.
AmazonCo-founder and CTO at Laminar (laminar.sh). Previously, I have worked at Amazon for 2 years building and scaling critical payments infrastructure. Before that, I've spent a year creating ML infrastructure for a drug discovery biotech startup in Korea.
Combining orchestration, evals, data, and observability into a single platform.
Laminar is a developer platform that integrates orchestration, evaluations, data, and observability to help AI developers ship reliable LLM applications faster. It provides a graph-based IDE, an open-source code-generation package, an evaluation framework, data tooling with vector search, and observability, aimed at accelerating LLM deployment and testing.
From the original launch (Jul 2024) — may be outdated.
Reliability platform for AI agents
AI Copilot for Shippers, Carriers and Brokers
