What is RagMetrics?
Building with LLMs? Prove your product works.LLM Judge helps you define what “good” looks like, then runs the tests automatically—saving you time and giving you instant insights you can share with users, teams, or investors.
Problem
Users building with LLMs rely on manual evaluation processes to assess performance, which are time-consuming, inconsistent, and lack scalability, leading to unreliable insights and difficulty proving product effectiveness to stakeholders.
Solution
A LLM evaluation tool that lets users automate testing processes using LLM as a judge, define custom criteria for "good" outputs, and generate shareable reports—e.g., testing chatbot responses for accuracy or tone.
Customers
Developers, product managers, and data scientists working on LLM-powered applications (e.g., chatbots, content generators) who need to validate performance and iterate efficiently.
Unique Features
LLM-as-a-judge approach automates evaluation, replaces human raters, and provides standardized metrics aligned with product-specific definitions of quality.
User Comments
Saves weeks of manual testing for AI projects
Easy to set up custom evaluation criteria
Investors loved the data-driven demo
Improved our chatbot accuracy by 40%
Dashboard makes results shareable instantly
Traction
Launched in 2023, 250+ upvotes on ProductHunt, used by early-stage AI startups and enterprises; exact revenue/user numbers undisclosed but positioned in the growing LLMops tools market.
Market Size
The global AI testing market is projected to reach $12.5 billion by 2028 (MarketsandMarkets), driven by demand for LLM validation tools.
