How developers
build reliable AI products.

The open-source platform for tracing and evaluating AI applications.

Backed bybacked by Y Combinator
Observability

Tommy He

CTO, Clarum

Clarum

I can attest to it being the only reliable and performant LLM monitoring platform I've tried. Founding team is great to talk to and super responsive.

Hashim Rehman

CTO, Remo

Remo

Laminar's evals help us maintain high accuracy while moving fast, and their team is incredibly responsive. We now use them for every LLM based feature we build.

Michael Ettlinger

CTO, Saturn

Saturn

Laminar's tracing is genuinely great. So much better than the others I've tried.

Automatic tracing of LLM frameworks and SDKs with 1 line of code

Simply initialize Laminar at the top of your project and popular LLM frameworks and SDKs will be traced automatically.

Real-time traces

Don't wait for your AI workflows and agents to finish to debug them. Laminar's tracing engine provides real-time traces.

Browser agent observability

Laminar automatically records high-quality browser sessions and syncs them with agent traces to help you see what the browser agent sees.

Browser agent observability

Experiment with LLM spans in the Playground

Open LLM spans in the Playground to experiment with prompts and models.

Manage eval datasets in a single place

Build datasets from span data and use them for evals and prompt engineering.

Create eval datasets from labeled data

Use labeling queues to quickly label data and create eval datasets.

Fully Open Source

Laminar is fully open source and easy to self-host. Easy to deploy locally or on your own infrastructure with docker compose or helm charts.