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    Evaluate Your Multi-Agent & LLM Workflows with Confidence

    NormaEval NormaEval is your dedicated platform for building, testing, and refining LLM-based systems. From prototype to production, we help you ensure quality, transparency, and progress at every step.

    Your Evaluation Journey:

    1. Configure your dataset – Define structured scenarios and expected outcomes. Use dynamic templates to cover real use cases even as data evolves.
    2. Launch batch evaluations – Test your agents across multiple scenarios. Evaluate how they perform across steps, environments, and user intents.
    3. Analyze and improve – Dive deep into evaluation results: NLP metrics, judge feedback, and detailed logs. Fix issues, validate progress, and iterate with confidence.
    Data 1AData 1BData 1CBatchEvaluate

    All-in-One Platform for AI Agent Evaluation

    Our platform combines three powerful features to provide comprehensive analysis and insights

    AI Evaluation & Safety

    Real-World Agent Testing & Risk Mitigation

    • Identify strengths and critical weaknesses in agent responses.
    • Validate metadata extraction and compliance across steps.
    • Ensure safe, transparent, and production-ready AI behavior.

    Batch Evaluation & Insights

    Scalable Scenario-Based Testing

    • Run large-scale batch evaluations across dynamic datasets.
    • Track accuracy, consistency, and regressions over time.
    • Compare model outputs and LLM-based scoring side-by-side.

    Continuous AI Optimization

    Integrate, Improve, and Deploy with Confidence

    • Trigger evaluations directly from GitHub pull requests.
    • Refine agent behavior using structured feedback loops.
    • Support rapid iteration with isolated environments per PR.

    Extraction

    We extract the most relevant data from user interactions and system outputs, enabling precise evaluation of key data points in multi-agent workflows.