Powerful Features
for AI Evaluation

Monitor AI agent performance in real-time with instant feedback on accuracy, relevance, hallucination detection and many other criterion.

Detect and prevent AI hallucinations before they impact your users. Use a combination of criterion in your evaluation to better understand how your AI solution is responding.

Single API call to better manage your integration. Python library or HTTP protocol to adapt to your needs. Get the results as answer of the API call with no need for additional calls.

Set up automated monitoring workflows that run 24/7 to ensure your AI systems maintain high quality standards. Receive alerts when performance drops below defined thresholds.

Evaluate AI responses across multiple dimensions including accuracy, relevance, clarity, and contextual appropriateness. Customize evaluation criteria to match your specific use case requirements.

Build solutions that need fast scoring or evaluation of metrics around JaaS AI. Integrate JaaS AI as a componet with the use of just one API call.

Real time monitor console that shows how the evalutions are being scored raising indicators when they are out of range or present a problem.

Multiple evaluation types create flexibility for the evaluation of different solutions. As an example, Conversational evaluations filter out basic conversations interactions -or chitchat; and those interactions are not evaluated.

Customize evaluation parameters, scoring models, and integration settings to match your specific requirements. Adapt JaaS AI to work seamlessly with your existing AI infrastructure.