Laminar

Laminar AI, founded by Robert Kim and Din Mailibay in 2024, is a Y Combinator-backed company that provides a unified platform for building, deploying, and monitoring production-grade AI applications. Written in Rust, Laminar offers fast and reliable performance, serving as an open-source developer platform that integrates trace data with event-based analytics. This helps teams gather, comprehend, and utilize data that influences the quality of their LLM applications. The platform can be self-hosted or utilized as a managed service.

Laminar is designed as an open-source, all-in-one platform aimed at engineering LLM products, offering tools for tracing, evaluating, and managing LLM applications. It features zero-overhead observability, dataset building capabilities, prompt chain management, and automated evaluation features. Traces are sent in the background via gRPC with minimal overhead, supporting both text and image models, and providing clear visibility into every step of execution. Automated evaluations enable the setup of LLM-as-a-judge or Python script evaluators to run on received spans, facilitating scalable evaluation processes.

The platform supports building and hosting complex chains, including mixtures of agents and self-reflecting LLM pipelines. It allows the creation of datasets from traces that can be used for evaluations, fine-tuning, and prompt engineering. Laminar also provides tools for monitoring and analyzing LLM applications in production environments, offering full trace visualization and search capabilities.