Track and Monitor AI Performance with Real-Time Insights
Get real-time visibility into every interaction with built-in AI performance monitoring. Detect issues, measure accuracy, and resolve problems fast so AI stays on track.
Explore AI Performance
Evaluating LLM Performance for Enterprise AI
End-to-End Visibility for Continuous AI Monitoring and Evaluation
Model Performance InsightsImpact of Your Model Selection
Identify which model best aligns with your enterprise requirements in terms of accuracy, latency, and cost. These insights make it easier to choose the model that delivers reliable performance and scales smoothly under demanding workloads.
Ensure Response AccuracyQuality Metrics
Monitor the quality of AI responses using key metrics that ensure answers stay accurate and relevant. Track groundedness, relevance, fluency, and similarity to understand how well each response performs. With these insights, spot issues early, prevent hallucinations, and keep AI consistently delivers high-quality output.
Track How Users FeelSentiment Analysis
Understand how users feel in real time. User sentiment shows the distribution of positive, neutral, and negative sentiment detected across all user prompts within the selected time frame.
Real-Time Performance VisibilityUsage Monitoring
Track and monitor AI performance with real-time visibility into response times, incoming and outgoing tokens, user feedback, caching activity, and system logs. Get a clear view of usage patterns and resource consumption to understand how models behave under real workloads and maintain reliable performance across your environment.
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