Arize AX
Arize AX is AI infrastructure or database tooling for vectors, data pipelines, or model serving.
Pros
- Purpose-built LLM/ML model monitoring with vector database and embedding observability
- tracks model drift, data quality, and performance metrics across production pipelines
- integrates with major ML frameworks (PyTorch, TensorFlow, etc.)
Cons
- Requires deep ML/data engineering expertise to deploy and interpret results
- pricing not publicly disclosed (enterprise sales model only)
- steep learning curve for non-ML specialists
Cost
AX Free costs $0 with no subscription, covering 10 issues, 25,000 spans and 1 GB of ingestion a month with 15 days of retention; AX Pro is $50 per month for 25 issues, 50,000 spans and 10 GB of ingestion a month with 30 days of retention; AX Enterprise is custom-priced on negotiated terms with unlimited signals and custom span volume, ingestion and retention. All three tiers include unlimited evaluations, experiments, human annotations and labelling queues, and a startup rate is available on application.
Verdict
Best for ML/AI engineering teams running LLM applications at scale who need production monitoring to detect model degradation and data drift.
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