RagMetrics is a platform designed to evaluate and optimize Retrieval-Augmented Generation (RAG) systems and Large Language Models (LLMs). It provides tools for creating custom metrics, running synthetic data evaluations, and implementing scalable A/B testing workflows. By achieving up to 95% human-LLM agreement, RagMetrics ensures that AI systems are accurate, reliable, and bias-free. The platform empowers startups and enterprises to enhance their AI models' performance, accelerate development, and build trust across applications in industries like healthcare, finance, and cybersecurity.
1. Improved AI Accuracy and Performance
2. Scalable and Automated Evaluations
3. Custom Metrics for Domain-Specific Needs
4. Synthetic Data Testing
5. Bias Detection and Fairness Assurance
6. Cost-Effective and Time-Efficient
- Reduce dependency on human evaluation, cutting costs while maintaining high-quality model assessments.
- Accelerate deployment timelines with reliable insights into model performance.
7. Trusted Partner for AI Teams
With RagMetrics, scale your AI evaluations confidently and build smarter, more reliable models. 🚀
RagMetrics offers three pricing tiers: Startup, Emerging, and Enterprise.
All plans include AI model evaluation, dashboards, A/B testing, and experiments, with higher tiers adding features like SSO, SAML, and cloud or on-premises options.
Pricing last verified November 6, 2026.
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