Arize — AI Observability and LLM Evaluation
Arize is an AI observability and evaluation platform for teams building LLM applications and agents
Arize is an AI observability and evaluation platform that provides full-stack monitoring for large language models and machine learning workflows. It is designed for business owners and engineering teams who need to ensure their AI agents and applications perform reliably in production environments. By providing end-to-end tracing, Arize helps organizations visualize how data flows through their systems to identify causes of performance degradation. Arize offers features like the Prompt Playground, where teams can test and refine prompts in real-time before deployment. The platform includes automated evaluation frameworks that check for specific risks such as hallucinations, toxicity, or the leaking of personally identifiable information. Business users can find Arize listed on surfai.app to better understand how observability reduces the technical debt associated with scaling AI. The software includes intelligent search and data curation tools that allow teams to surface edge cases and retrain models effectively. It supports high-level security standards including SOC 2 Type II and HIPAA compliance, making it suitable for regulated industries like healthcare and finance. By using Arize, companies can shorten their iteration cycles and move projects from experimentation to production with higher confidence. The platform operates on a freemium model with a substantial free tier for smaller teams and individual developers. Enterprise plans are available for organizations requiring advanced security, custom integrations, and large-scale data processing capabilities.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | Slack, HubSpot, Databricks, Snowflake, Azure ML, Weights & Biases, Hugging Face |
| Best for | enterprise-leaders, ctos, ai-engineers, product-managers |
| Website status checked | 2026-10-20T18:01:41.827+00:00 |
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| Tool | Focus | Pricing model | Listed integrations |
|---|---|---|---|
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