Building trust through more reliable AI
RagMetrics is an AI evaluation platform designed for Retrieval-Augmented Generation (RAG) systems. As enterprises adopt large language models (LLMs) for AI assistants and semantic search tools, ensuring reliable outputs is crucial. Our platform assesses retrieval relevance and generation accuracy, helping teams identify inaccuracies, conduct A/B tests, and automate quality assurance. RagMetrics is the first end-to-end observability solution for text-based generative AI, making it inherently trustworthy.
Leadership
RagMetrics was founded by seasoned technologists from Google, Microsoft, Chyron, and Cloudflare, leaders with decades of hands-on experience in machine learning and responsible AI. Together, they’re building the foundation for trustworthy, enterprise-grade generative AI.
The RagMetrics team brings deep expertise in evaluating LLMs and solving real-world challenges like hallucinations, retrieval drift, and prompt fragility. Their expertise drives the RagMetrics’ mission: to help organizations deploy production-ready GenAI solutions.
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Investor Opportunities
RagMetrics is currently self-funded and actively seeking early-stage investment to scale product development and accelerate enterprise traction.
Stage & Funding
Pre-seed / Seed, with founders having invested initial resources to build a robust MVP and validate core use cases.
Clear Market Signal
We address a fast-growing need for AI evaluation and QA tools, especially for RAG-based LLM systems.
Founding Team
Deep domain expertise from Microsoft, Google, and Chyron, highlighting strong founder-market fit and technical execution capability.
RagMetrics Newsletter
Information about RagMetrics and the AI industry; including LLM Judge and AI Testing.
Frequently Asked Questions
Yes, we do.
Yes, we can run as a hosted service, on-prem, or on a private cloud.
It's as easy aconnecting your pipeline, your public model (Anthropic, Gemini, OpenAI, DeepSeek, etc.), creating a task, labeling a dataset, selecting your criteria, and starting to run an experiment!
Your public API keys, the endpoint of your pipeline, a source of domain expertise for your labelled data, and a concrete description of the task of your model, as well as your own criteria of success!
Yes, it's as easy as copying and pasting your endpoint URL.
Validate LLM Responses and Accelerate Deployment
RagMetrics enables GenAI teams to validate agent responses, detect hallucinations, and speed up deployment through AI-powered QA and human-in-the-loop review.
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