Arize is an AI observability and evaluation platform designed to help developers, machine learning engineers, and businesses understand how their artificial intelligence applications perform. Rather than focusing only on building AI models, Arize helps teams investigate model behavior, identify application failures, evaluate generated responses, and improve AI systems over time. The platform supports generative AI applications, large language models (LLMs), retrieval-augmented generation (RAG) systems, and autonomous AI agents. Its ecosystem includes Arize AX, a hosted AI engineering platform, and Arize Phoenix, an open-source solution for tracing, experimentation, and evaluation. Arize brings development, debugging, monitoring, and performance evaluation into a connected workflow.
Arize AX offers different subscription plans to support individual developers, growing AI teams, and large organizations.
Arize AX Free
The Free plan is suitable for beginners and small AI projects. It includes:
25,000 trace spans per month
1 GB monthly data ingestion
15-day data retention
Unlimited users and evaluations
Arize AX Pro
Starting at $50 per month, the Pro plan offers greater capacity for growing AI applications:
50,000 trace spans per month
10 GB monthly data ingestion
30-day data retention
Additional features for professional AI workflows
Arize AX Enterprise
The Enterprise plan is designed for organizations with advanced AI monitoring requirements. It offers customizable usage limits, enhanced security, administrative controls, and dedicated support options. Pricing is available upon request.
Note: Plan features, pricing, and usage limits may change. Check Arize's official pricing page for current details.
Arize becomes particularly valuable when AI applications move beyond simple demonstrations. Consider a customer support chatbot connected to a company's knowledge base. The chatbot may provide an incorrect answer even when the underlying language model is functioning normally. The problem could originate from document retrieval, an incomplete prompt, an outdated knowledge source, or an unexpected tool response. Arize helps developers investigate these possibilities.
A typical improvement workflow might involve:
Capture the interaction: Record the relevant trace and its component operations.
Identify the failure: Examine the retrieval results, model inputs, and generated response.
Create evaluation examples: Save representative cases for repeatable testing.
Test improvements: Compare prompt modifications or retrieval changes.
Evaluate results: Measure whether the new configuration performs better.
Monitor subsequent behavior: Observe the application after the changes are deployed.
This approach turns AI debugging into a structured process supported by evidence.
The same principles can apply to document assistants, automated research tools, recommendation workflows, and multi-step AI agents.
Before choosing Arize Accounts, review the following details to ensure it meets your AI development and monitoring needs.
Subscription Plan: Check whether the account includes Free, Pro, or Enterprise features.
Usage Limits: Review trace spans, data ingestion allowances, and retention periods.
Account Permissions: Confirm access to projects, datasets, evaluations, and other required tools.
Subscription Duration: Verify the account's validity period and renewal conditions.
Security and Ownership: Ensure the account access is authorized and complies with Arize's service terms.
Comparing these features helps users find suitable Arize account options while avoiding unexpected limitations.
Can I Use an Arize Account for LLM Monitoring?
Yes. Supported Arize accounts provide tools for monitoring LLM applications, analyzing traces, and evaluating AI responses.
What Is Included in an Arize Pro Account?
The Pro plan offers increased tracing capacity, longer data retention, and additional capabilities compared with the Free plan.
Can I Use My Arize Account on Different Devices?
Arize AX is accessible through a web browser, subject to authentication requirements and account security policies.