Evidently AI
Product information, use cases, and access for Evidently AI.
Pricing information
No verified public pricing is available yet.
DevPrice organizes public information and does not sell Evidently AI subscriptions. Prices and availability are determined by Evidently AI.
What is Evidently AI?
Evidently AI is an open-source evaluation and observability framework for teams that need to examine the quality, safety, and reliability of LLMs, RAG applications, AI agents, and machine-learning models. It brings evaluation, testing, and monitoring into one framework, so teams can review system behavior as their products change.
Users can generate test cases, run automated evaluations, and explore results in shareable visual reports. The framework also supports synthetic inputs tailored to realistic, edge-case, or adversarial situations, plus ongoing quality checks through a live dashboard; this makes it useful to AI builders, data scientists, and MLOps or ML engineering teams working across development and production.
Key features of Evidently AI
Automated evaluation
Systematically measures AI output quality, safety, and reliability, with evaluations that can run in a pipeline and results that can be explored through shareable visual reports.
Synthetic data
Creates synthetic inputs tailored to a use case, including realistic, edge-case, or adversarial examples that range from ordinary prompts to hostile test situations.
Continuous monitoring
Tracks evaluation results and ongoing quality checks through a live dashboard, helping teams detect drift, regressions, and emerging risks earlier.
Customizable quality metrics
Combines built-in metrics with rules, classifiers, and LLM-based evaluations, while allowing custom metrics to be added for the quality criteria of different AI products.