Evaluate GenAI Quality with Confidence

RagMetrics validates GenAI agent responses, detects hallucinations, and accelerates deployment with rapid GenAI evaluations, scoring, and monitoring.

RagMetrics Welcome - Start Measuring in 4 Easy Steps

Why AI Evaluations Matters

Hallucinations erode trust in AI

65% of business leaders say hallucinations undermine trust.

Manual evaluation process doesn't scale

Automated review cuts QA costs by up to 98%.

Enterprises need proof before deploying GenAI agents

Over 45% of companies are stuck in pilot mode, waiting on validation.

Product teams need rapid iteration

Only 6% of lagging companies ship new AI features under 3 months.

Purpose-Built Platform for AI Evaluations

AI-Assisted Testing

Automated testing and scoring of LLM and agent outputs

Live AI Evaluations

Evaluate GenAI output in near real time

Hallucination Detection

Automated detection of AI-generated inaccuracies

Performance Analytics

Real-time insights and performance monitoring

Platform Dashboard with Holographic Interface

Flexible and Reliable

LLM Foundational Model Integrations

Integrates with all commercial LLM Foundational models, or it can be configured to work with your own.

200+ Testing Criteria and Create your own Criteria

With over preconfigured criteria and flexibility to configure your own, you can measure what is relevant for you and your system.

AI Agentic Monitoring

Monitor and trace the behaviors of your agents. Detect if they start to hallucinate or drift from their mandate.

Deployment Cloud, SaaS, On-Prem

Choose the implementation model that fits your needs -- cloud, SaaS, on-prem. Stand Alone GUI or API model.

AI Agent Evaluation and Monitoring

Analyze each interaction to provide detailed ratings and monitor compliance and risk

The RagMetrics AI Judge

Overview: Ragmetics connect to foundational LLM models in the Cloud, SaaS, and on-prem, allowing developers to evaluate new LLMs, agents, and copilots before they go to production.

AI Facial Recognition Analysis - RagMetrics AI Judge

Leading teams trust RagMetrics to validate and improve their GenAI outputs.

What Our Customers Say

"I was thrilled to see this graph from the RagMetrics Team, yesterday. It demonstrates that our RAG methodology at Tellen employing techniques from semantic search to LLM-based summarization significantly outperforms GPT-4 and all other large language models. Excited to boost these numbers by both leveraging more sophisticated RAG—HyDE, reranking, etc. and other language models, for which we're already building private endpoints in Microsoft Azure. Seems Llama3 could be a good bet!"

Girish Gupta

Tellen

"I have had the pleasure to work with RagMetrics Team. They are very knowledgeable on the areas of AI, LLM, as well as business. They know that a successful product is more than just technology. The results provided by RagMetrics are helpful for any AI product development and the company is very open to feedback and customizations. I would recommend anyone with an AI application to look into what RagMetrics can do for their use case."

Lawrence Ibarria

AI Product Leader

Frequently Asked Questions

LLM-as-a-Judge is an automated evaluation approach where large language models assess the quality of AI outputs. Our platform achieves 95% human-LLM agreement, allowing you to scale your evaluation process without manual review for every response.

RagMetrics is designed to work seamlessly with your existing code and models. It supports all commercial and open-source LLMs, integrates with various deployment environments (cloud, on-premises, air-gapped), and provides API access for easy integration into your development pipeline.

Yes! We offer over 1,000 pre-built rubrics to choose from, and you can also create custom performance metrics tailored to your specific use case. This ensures you measure success based on your business objectives, not just generic benchmarks.

RagMetrics can evaluate a wide range of AI applications including RAG systems, chatbots, AI agents, content generation tools, and any application that uses LLMs. We specialize in evaluating unstructured text outputs with detailed analytics on quality, latency, and cost.

No! Our synthetic-labeled data generation feature allows you to start evaluating without waiting for domain experts or manual data labeling. This saves significant time and money while accelerating your path to production.

We offer flexible pricing based on your evaluation volume and needs. You can start for free to test the platform, and we offer customized plans for enterprise customers. Contact us for a detailed quote tailored to your use case.

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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