End-to-End Visibility Across the Agentic Hierarchy
Evaluate and monitor autonomous multi-agent systems with full hierarchy visibility — from the application, to the session, to the agent, to the trace, to the span.
Deliver High-Performance AI
From evaluations in development to monitoring in production — launch high-performing agents with continuous validation and a feedback loop for improvement.
Protect From Costly Risks
Build reliable agents with runtime guardrails, root cause analysis, and anomaly detection to safeguard operations and prevent costly incidents.
Maximize ROI
Run cost-effective agents with in-environment scoring. Track token usage, latency, and quality metrics to optimize resource allocation.
Launch Reliable Agents
Evaluate agents before deployment with curated datasets, experiments, and stress tests to catch issues early and reduce post-launch incidents.
- Evaluate agents with golden and challenger datasets to validate performance
- Run experiments comparing prompts, models, and parameter configurations
- Stress-test edge cases to identify weaknesses before they reach production
- Score every response for accuracy, consistency, safety, and relevance
Gain Complete Visibility Across the Hierarchy
See what is happening inside every agent interaction. Track reasoning chains, tool calls, and decision paths across sessions with customizable dashboards.
- View aggregate and granular insights in customizable dashboards
- Monitor KPIs including hallucination, toxicity, PII exposure, and drift
- Navigate up and down the agentic hierarchy to inspect any interaction
- Receive real-time alerts when agent performance degrades
Understand the 'Why' to Optimize Performance
Perform hierarchical root-cause analysis to pinpoint failing spans, uncover cross-agent dependencies, and drive continuous improvement.
- Pinpoint the exact span where failures occur with full execution context
- Uncover cross-agent dependencies and bottlenecks that impact performance
- Surface critical issues with targeted filtering, sorting, and span attributes
- Create a feedback loop between production insights and development improvements
