Arize AI
FreemiumML and LLM observability platform for monitoring, evaluation, and drift detection.
Tool Info
Overview
Arize AI monitors ML and LLM systems in production for quality, drift, and performance.
It pairs with the open-source Phoenix library for local development.
Enterprise choice for observability beyond basic tracing.
Features
- LLM tracing
- Embedding analysis
- Drift detection
- Phoenix open-source companion
Pricing
Pros
- Mature ML observability
- Phoenix OSS option
- Enterprise scale
Best For
When NOT to Use
- Complex for small teams
- Full features are paid
Typical Users
Community Insights
Real implementation experiences shared by AI practitioners.
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Related Tools
Alternatives
Tags
Related Guides
- AI Observability
Production observability for LLM systems — traces with prompt/completion/tool spans, cost and latency attribution, quality proxies, and PII-safe instrumentation.
- LLM Evaluation
Measuring LLM output quality — automated checks, rubrics, LLM-as-judge, human calibration, and CI eval pipelines for generation.
- AI Evaluation
Hub guide to evaluating AI systems — four eval layers, golden sets, LLM-as-judge, CI gates, and why public benchmarks are not product readiness.
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