Evidently AI

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

Founded in 2020

Free TierAI Orchestration and MLOps

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

Founded in 2020

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.

Integrations

GitHub

Databricks

MLflow

Use Cases

Test chatbots for harmful or inappropriate responses

Monitor recommendation systems for bias and drift

Validate RAG systems for accurate information retrieval

Check AI agents for proper tool usage and reasoning

Detect when models start producing lower quality outputs

Generate adversarial test cases to find system weaknesses

Standout Features

Automated LLM evaluation with 100+ built-in metrics

Synthetic test data generation for edge cases

Real-time model drift detection and monitoring

Hallucination and factuality checking for AI outputs

PII detection and data leak prevention

Custom evaluation rules with prompts and models

Tasks it helps with

Run automated safety tests on AI model outputs

Generate synthetic test data for challenging scenarios

Set up continuous monitoring dashboards for model performance

Create custom evaluation metrics for specific use cases

Compare model versions to detect quality regressions

Generate detailed reports on AI system failures

Who is it for?

Machine Learning Engineer, AI Research Scientist, Data Scientist, AI Engineer, Software Engineer, DevOps Engineer, Data Analyst, Product Manager, Quality Assurance (QA) Engineer

Overall Web Sentiment

People love it

Time to value

Quick Setup (< 1 hour)

Tutorials

Reviews

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