Evidently AI

Founded 2020

Ensure your AI is production-ready. Test LLMs and monitor performance across AI applications, RAG systems, and multi-agent workflows. Built on open-source.

Cost

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Evidently AI to test LLMs and AI systems before deployment and monitor their performance in production. It helps you catch hallucinations, data leaks, and quality issues by running automated evaluations, generating synthetic test data, and tracking model drift over time. The tool provides detailed reports showing exactly where AI systems fail and includes over 100 built-in metrics for measuring accuracy, safety, and reliability across different AI use cases.

What Evidently AI does

Run automated safety tests on AI model outputsGenerate synthetic test data for challenging scenariosSet up continuous monitoring dashboards for model performanceCreate custom evaluation metrics for specific use casesCompare model versions to detect quality regressionsGenerate detailed reports on AI system failuresMonitor production models for data drift and anomaliesValidate multi-step AI workflows and reasoning chainsAutomated LLM evaluation with 100+ built-in metricsSynthetic test data generation for edge casesReal-time model drift detection and monitoringHallucination and factuality checking for AI outputsPII detection and data leak preventionCustom evaluation rules with prompts and modelsRAG pipeline quality assessmentMulti-agent workflow validation

Tutorials & Demos

Frequently asked

GitHub

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