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GALILEO
GenAI evaluation, observability, and guardrails at enterprise scale
ABOUT
AI teams building GenAI applications face a blind spot: once a model is in production, understanding how it's performing — latency, accuracy, cost, safety — requires custom instrumentation and dashboards. Galileo provides a complete observability and evaluation platform with low-latency evaluators (Luna models), real-time production monitoring, experiment comparison, and AI guardrails. Teams can log traces, run evaluations, detect drift, and set up automated quality gates without building monitoring infrastructure from scratch. Galileo integrates via SDKs, OpenTelemetry, and API, making it easy to add observability to any GenAI stack.
INTEGRATION GUIDE
1. Monitor production GenAI applications with real-time dashboards for latency, token usage, cost, and response quality metrics
2. Run A/B experiments comparing prompts, models, and retrieval parameters to find the optimal configuration for your use case
3. Detect and alert on data drift, hallucination patterns, and accuracy degradation in production LLM pipelines
4. Deploy AI guardrails that automatically enforce content policies, safety rules, and quality thresholds on live inference traffic
TAGS
llm-observabilityevaluationmonitoringgenaiagentsguardrails