Evidently AI
UnclaimedEvaluate and monitor your AI systems for safety, reliability, and performance.
Visit WebsiteFreemiumVisit Website
Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Built on a popular open-source framework with a large community.
Biggest con
Advanced features like synthetic data and adversarial testing are in higher-tier plans.
TL;DR - Evidently AI
- Automated evaluation platform for AI systems, especially LLMs.
- Built on an open-source framework with 100+ metrics for quality, safety, and accuracy.
- Offers continuous testing, synthetic data generation, and adversarial testing to prevent AI failures.
Pricing: Free plan available
Best for: Growing teams
What is Evidently AI?
Evidently AI provides an AI evaluation and LLM observability platform built on the open-source Evidently framework. It helps teams ensure their AI models, especially LLMs, are safe, reliable, and performant through automated evaluation, synthetic data generation, and continuous testing. The platform addresses common AI failures like hallucinations, edge cases, data leaks, and cascading errors by offering over 100 built-in metrics and the ability to design custom evaluation systems.
The platform is designed for AI product teams, ML platform engineers, and AI governance leaders who need to rigorously test and monitor their AI applications. It supports various use cases, including adversarial testing, RAG evaluation, AI agent validation, and predictive system monitoring. Beyond the core platform, Evidently AI also offers advisory services, training, and masterclasses to help organizations implement robust LLM evaluation workflows and manage AI risks effectively.
Available on: Web
Pros & Cons
Pros
- Built on a popular open-source framework with a large community.
- Comprehensive suite of metrics and evaluation capabilities for various AI systems.
- Supports both LLM-powered and traditional ML models.
- Offers continuous testing and monitoring to catch issues early.
- Provides advisory services and training for effective implementation.
Cons
- Advanced features like synthetic data and adversarial testing are in higher-tier plans.
- Pricing for higher tiers can be significant for smaller teams.
- Requires integration into existing AI/ML pipelines.
Preview
Key Features
Automated evaluation of output accuracy, safety, and qualitySynthetic data generation for realistic, edge-case, and adversarial inputsContinuous testing with live dashboards for performance trackingAdherence to guidelines and format checkingHallucination and factuality detectionPII detectionRetrieval quality and context relevance assessmentSentiment, toxicity, tone, and trigger word analysis
Pricing Plans
Free TrialPricing checked May 30, 2026
Developer
Free
- All core evaluation features
- 100+ built-in metrics
- 10,000 data rows / month
- 30-day retention
- Community support
- 1GB snapshots
- 3 Projects
- 2 Seats
Pro
$50 / month
- All in Free
- Alerting
- 100,000 data rows / month
- 12-month retention
- 5 seats
- 10 projects
- Email support
- 100 GB snapshots
Expert
from $399/month
- All in Pro
- Synthetic data
- Adversarial testing
- 200,000 data rows / month
- 10 seats
- unlimited projects
- Dedicated support
- 24 months retention
Enterprise
Custom
- All features with custom limits
- On-prem or private cloud deployment options
- Premium support and SLA
- Custom limits
- Custom SSOCustom roles
- Audit logs
- Private cloud
Startups
Special offer
- All core features
- Free credits towards Pro tier
- Premium support
Reviews
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Evidently AI FAQ
How does Evidently AI help in evaluating Retrieval Augmented Generation (RAG) systems?
Evidently AI provides specific capabilities for RAG evaluation, allowing teams to assess the safety, reliability, and performance of their RAG-based AI applications. It helps identify issues like hallucinations and data leaks that can affect RAG system quality. The platform offers over 100 built-in metrics to support comprehensive evaluation.
Which teams benefit most from using Evidently AI?
Evidently AI is designed for AI product teams, ML platform engineers, and AI governance leaders. These roles can leverage the platform to rigorously test and monitor their AI applications, ensuring they meet safety, reliability, and performance standards.
How does Evidently AI compare to Arize AI for AI observability?
Evidently AI is built on an open-source framework and offers a comprehensive suite of metrics for evaluating both LLM-powered and traditional ML models. It focuses on automated evaluation, synthetic data generation, and continuous testing to address common AI failures. Arize AI also provides AI observability, but Evidently AI's open-source foundation and specific focus on LLM safety and performance evaluation distinguish its approach.
What kind of limitations should users consider with Evidently AI?
Users should be aware that advanced features, such as synthetic data generation and adversarial testing, are part of higher-tier plans. Additionally, the pricing for these higher tiers may be substantial for smaller teams. The platform also requires integration into existing AI/ML pipelines.
How is Evidently AI priced?
Evidently AI offers a free tier for users to get started with its capabilities. For more extensive usage and access to advanced features, paid plans are available.
Can Evidently AI be used for traditional machine learning models in addition to large language models?
Yes, Evidently AI supports the evaluation and monitoring of both LLM-powered and traditional machine learning models. It provides a comprehensive suite of metrics and evaluation capabilities applicable across various AI systems.
Does Evidently AI offer support beyond its core platform features?
Yes, beyond the core platform, Evidently AI provides advisory services, training, and masterclasses. These offerings are designed to help organizations effectively implement robust LLM evaluation workflows and manage AI risks.
Source: evidentlyai.com