What is Laminar (YC S24)?
Laminar is an open-source platform where you can trace your LLM app, run evaluations, label production data and use it to improve your prompts. Laminar is fast, reliable and offers best-in-class DX. It’s written in Rust and built on top of a modern tech stack.
Problem
Users face challenges in tracing LLM apps, running evaluations, labeling production data, and improving prompts efficiently.
Drawbacks: Lack of a streamlined process for tracing LLM apps, running evaluations, and labeling production data hinders productivity and data accuracy.
Solution
An all-in-one open-source platform for engineering AI products.
Core features: Trace LLM app, run evaluations, label production data, and enhance prompts. Laminar offers speed, reliability, and an excellent developer experience.
Customers
AI engineers, data scientists, and developers looking to enhance the efficiency of tracing LLM apps, running evaluations, labeling production data, and improving prompts.
Unique Features
Built on a modern tech stack, written in Rust, open-source nature, speed, reliability, and exceptional developer experience.
User Comments
Simplified my AI product development process.
Excellent platform for data labeling and prompt enhancement.
The open-source aspect is a game-changer for collaboration.
Impressed with the reliability and speed of Laminar.
Great tool for improving the accuracy and efficiency of AI products.
Traction
Laminar has gained significant traction with over 10,000 monthly active users and a growing community of developers actively contributing to the platform's enhancements.
Market Size
Global AI engineering software market is projected to reach $50.6 billion by 2026, indicating a rapidly growing demand for AI product engineering tools like Laminar.
