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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.
Reliability platform for AI agents
AI Copilot for Shippers, Carriers and Brokers
