Unpredictable Outputs
Your AI agent works perfectly in dev, but fails unpredictably in production with real-world inputs. You lack a systematic way to identify and fix these edge-case failures.
Continuous AI Agent Testing
EvaluatAI is the continuous testing and evaluation platform for your LLM applications. Move beyond anecdotal checks and implement rigorous, automated testing to catch regressions, measure performance, and ensure your agents behave as expected, every single time.
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Production AI breaks in ways traditional testing never catches.
Your AI agent works perfectly in dev, but fails unpredictably in production with real-world inputs. You lack a systematic way to identify and fix these edge-case failures.
Evaluating agent performance is a tedious, manual process of running prompts and subjectively judging outputs. This slows down your development cycle and makes it impossible to test at scale.
A seemingly small change to a prompt or model parameter causes a major, unnoticed drop in quality. You only find out after users complain, damaging trust and user experience.
From integration to continuous monitoring in three steps.
Integrate our lightweight SDK (Python, JS/TS) into your application in minutes. No complex infrastructure changes required.
Create evaluation scenarios using our intuitive UI. Define metrics like correctness, tone, latency, and cost, or write custom programmatic evaluators.
Run evaluations on every commit or on a schedule. Get instant alerts on regressions and use our detailed dashboards to pinpoint issues and accelerate your development loop.
Visual Workflow Builder
Chain together data generators, agent calls, and multiple evaluation metrics in a simple, drag-and-drop style interface to mirror your production logic.


Deep Performance Analytics
Dive into detailed reports for each evaluation run. Compare performance across different models, prompts, and versions. Visualize score distributions and trace individual interactions to pinpoint issues.
Get a high-level view of all your agents' performance in one place. Track key metrics like pass/fail rates, average latency, and token costs across all your test suites.
Go beyond simple string matching. Use our built-in evaluators for common tasks (summarization, JSON validation, sentiment analysis) or write your own custom Python functions to measure what truly matters for your use case.
Integrate agent evaluation directly into your development pipeline. Automatically trigger test suites on every pull request to catch regressions before they reach production.
Flag ambiguous or interesting results for manual review. Create a golden dataset of human-verified interactions to fine-tune your models and improve the accuracy of your automated evaluations.
See how systematic evaluation compares to the status quo.
The Developer plan is free with 1,000 evaluation runs per month. Team plans start at $24/mo per seat.
EvaluatAI is a SaaS platform that helps developers test, evaluate, and monitor their AI agents and LLM applications. It provides tools to create automated test suites, measure performance against various metrics (like correctness, latency, and cost), and integrate this evaluation process into your development workflow.
We offer a few different tiers. The Developer plan is free and gives you a generous number of evaluation runs to get started. Our paid plans offer higher limits, team collaboration features, and more advanced capabilities. You can see the full details in the pricing section above.
Yes, absolutely. You can cancel your paid plan at any time from your account settings. Your subscription will remain active until the end of the current billing period, and you will not be charged again.
Simply sign up for a free Developer account. After a quick onboarding, you'll get an API key and instructions for installing our SDK. You can be running your first evaluation in less than 15 minutes.
Our platform is model-agnostic. You can evaluate any AI agent or LLM application that can be accessed via an API, regardless of the underlying model (e.g., OpenAI, Anthropic, Cohere, or open-source models) or framework (e.g., LangChain, LlamaIndex).
We take data security seriously. The data you send for evaluation (like prompts and agent outputs) is used solely to perform the evaluation and display the results back to you in your dashboard. It is encrypted in transit and at rest. We do not use your data to train our own or any third-party models. Please see our Privacy Policy for full details.
Yes, our platform is designed to fit into modern development workflows. You can use our API or CLI to trigger evaluation runs from your CI/CD pipeline, such as GitHub Actions, GitLab CI, or Jenkins.
Join teams using EvaluatAI to automate testing, catch regressions, and deliver reliable LLM applications.