Multi-turn conversation testing
Simulate full conversations end-to-end and catch failures that only surface across multiple exchanges. Test your app the way your users actually use it.
LLM Evals Your Team Will Love. Not Dread.
Postman for AI evaluation. Connect via API, simulate conversations, and test entire AI workflows — not just prompts. No CSVs. No waiting on engineering.
TRUSTED BY 500+ LEADING AI COMPANIES
Evals ran to date[ 0+ ]
PLATFORM
Testing you'll actually want to run.
Side-by-side experiments
Change any variable — model, prompt, system logic — and compare results across every metric and pipeline step. See exactly what improved and what regressed.
Alignment metrics with humans
Compare metric scores against human annotations to surface false positives and negatives. Know exactly where your evals agree with your team — and where they don't.
Automated evals on every change
Think GitHub actions for evals. Product managers and domain experts can tweak prompts, and evaluations will run automatically.
MCP-native workflow
Evaluate, iterate, and ship without leaving your favorite IDE — Cursor, Claude Code, or any MCP-compatible editor. Run evals, pull team results, and push fixes in one workflow.
METRICSMetrics your org can rally behind.
Metrics your org can rally behind.
Powered by DeepEval.
50+ research-backed eval metrics used by teams at OpenAI, Google, and Microsoft — from hallucination and faithfulness to tone, safety, and task completion.
INTEGRATIONS
Works with your stack. All of it.
Evaluate with any model provider, instrument with any framework, and run evals in any CI/CD pipeline.
Model Providers
OpenAI
Claude
Gemini
Azure OpenAI
AWS Bedrock
Vertex AI
Mistral
LiteLLM
PortkeyOpenAIClaudeGeminiAzure OpenAIAWS BedrockVertex AIMistralLiteLLMPortkeyOpenAIClaudeGeminiAzure OpenAIAWS BedrockVertex AIMistralLiteLLMPortkeyOpenAIClaudeGeminiAzure OpenAIAWS BedrockVertex AIMistralLiteLLMPortkey
Frameworks
LangChain
LlamaIndex
CrewAIOpenAI Agents
Vercel AI SDK
LangGraph
PydanticAI
OpenTelemetryLangChainLlamaIndexCrewAIOpenAI AgentsVercel AI SDKLangGraphPydanticAIOpenTelemetryLangChainLlamaIndexCrewAIOpenAI AgentsVercel AI SDKLangGraphPydanticAIOpenTelemetryLangChainLlamaIndexCrewAIOpenAI AgentsVercel AI SDKLangGraphPydanticAIOpenTelemetry
CI/CD
GitHub Actions
GitLab CI
Jenkins
CircleCI
Buildkite
Azure PipelinesGitHub ActionsGitLab CIJenkinsCircleCIBuildkiteAzure PipelinesGitHub ActionsGitLab CIJenkinsCircleCIBuildkiteAzure PipelinesGitHub ActionsGitLab CIJenkinsCircleCIBuildkiteAzure Pipelines
FAQ
Have a Question?
Checkout our FAQs below, or talk to a human. They won't hallucinate.
If your AI app is reachable through APIs, no. Point to any endpoint and start sending requests — just like Postman. No SDK, no code changes, no engineering dependency to start running evals.
We offer 50+ research-backed metrics mainly using LLM-as-a-judge evaluators that use a language model to assess quality, tone, safety, and more. Every metric is powered by DeepEval, the open-source evaluation framework used by teams at OpenAI, Google, and Microsoft.
Yes. Unlike most eval tools that only test single prompts, you can simulate full multi-turn conversations end-to-end and catch failures that only surface across multiple exchanges.
Change any variable — model, prompt, system logic — and run your golden dataset against both versions. Results are compared side by side across every metric and pipeline step so you can see exactly what improved and what regressed.
No. Engineers can connect endpoints and configure pipelines. Product managers and domain experts can tweak prompts, run experiments, and evaluate results — no engineering bottleneck required.
Yes. We support major LLM providers like OpenAI, Anthropic, and Google. Cloud providers like Bedrock, Vertext, and Azure OpenAI, and gateways such as Portkey and LiteLLM.
We offer a built in tool to help you know if your app is returning the correct content for testing. Payloads are flexiable and outputs can be parsed from any format you return.