Sold by: Arize AI
Deployed on AWS
Arize is the all-in-one AI Agent Engineering platform to develop, observe, evaluate, and continuously improve AI agents and applications at scale. With enterprise-grade features like the Alyx AI assistant, online evaluations, automated prompt optimization, role-based access control (RBAC), and robust support, Arize AX empowers both technical and non-technical teams to build and manage self-improving agents from development through production.
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Overview
Arize AX is the all-in-one AI Agent Engineering platform that powers the next generation of self-improving agents and applications - from development to live production. With tools for prompt optimization, full trace observability, agent evaluation, and live monitoring, Arize helps AI teams build generative AI systems faster, improve performance, and scale with confidence.
Built for modern agent architectures and deployed in your AWS environment, Arize AX integrates seamlessly with Amazon Bedrock Agents and popular open-source frameworks.
-Prompt IDE for Optimization: Design, test, compare, and evolve prompts in a powerful environment with live inputs, outputs, and integrated evaluation results.
-Application Agent-Level Observability and Tracing: Visualize every step of agent behavior - prompts, tools, memory, routing, and LLM outputs - with minimal code using the Arize OpenInference instrumentation.
-LLM and Agent Evaluation: Run offline and online LLM-as-a-Judge evaluations to assess accuracy, tool-calling, planning, and goal achievement.
-Self-Improving Agent Workflows: Drive closed-loop improvement by combining trace analysis, evaluation feedback, and golden data sets into continuous iteration.
-Datasets and Experiments: Use curated and/or human-annotated datasets to run controlled experiments across prompt strategies, agent configurations, or toolchains, and measure performance impact over time with built-in analytics
-Copilot Assistant (Alyx): Navigate traces, surface anomalies, and ask natural-language questions about agent performance - all in-product.
-Real-Time Monitoring & Alerts: Define custom metrics, monitor latency, token usage, or failures, and set alerts to stay ahead of production issues.
-Machine Learning Observability and Computer Vision: Monitor, troubleshoot, and improve traditional ML and CV models alongside LLM agents - tracking drift, bias, and performance across tabular, image, and multimodal datasets.
Highlights
- Agent and LLM Application Observability: Gain full visibility into the behavior of your AI agents and LLM-powered applications. Arize captures and visualizes every step - user inputs, routing logic, tool calls, memory access, and model outputs - using tree-structured traces. With native support for Amazon Bedrock Agents and open frameworks, observability is seamless and code-light.
- Enable Self-Improving Agents: Go beyond static deployments. Arize enables closed-loop agent improvement by combining observability, online evaluation, and structured experimentation. Debug issues faster, test changes safely, and continuously evolve agent behavior in response to real-world usage and feedback.
- Prompt IDE and Evaluation: Optimize prompts with Prompt IDE, purpose-built for fast iteration and testing. Compare prompt versions side by side, analyze agent responses, and apply online or offline LLM as a Judge evaluations to measure quality, correctness, and performance at scale.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Arize Pro Edition | Tracing, Prompt IDE, evaluations, Alyx co-pilot. Subscription based. | $1,200.00 |
Dimensions summary
This listing offers one option: Arize Pro Edition, billed as a subscription and measured in units. You commit under a contract, and pricing scales with the number of units you buy. The subscription covers tracing, the Prompt IDE, evaluations, and the Alyx co-pilot. Tracing captures each step of a request so you can see where it broke. Evaluations score how your AI application performs. Alyx is a built-in AI agent that runs evaluations and helps debug issues. Because there is a single dimension, you scale cost by adjusting unit quantity rather than switching plans.
Top-of-mind questions for buyers
A unit is a subscription quantity you commit to under contract. Your total cost scales with the number of units you buy. The listing does not tie a unit to a single fixed metric, so confirm the exact unit mapping with the vendor before purchase.
The subscription includes tracing, the Prompt IDE, evaluations, and the Alyx co-pilot. Tracing captures each step of a request, including retrieval, tool calls, and model outputs. Evaluations score how your AI application performs. Alyx is a built-in agent that runs evaluations and helps debug agent issues.
You scale cost by adjusting the number of units, not by switching plans. Because this is a single subscription dimension, adding capacity means adding units under your contract. Confirm mid-term quantity changes and any minimum commitment with the vendor.
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Software as a Service (SaaS)
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Support
Vendor support
Email: marketplace@arize.com
Enterprise Support: Includes onboarding, instrumentation guidance, custom evaluation setup, and prompt optimization strategies.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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By Arize AI
By Fiddler AI
Top
25
In Observability, Software Development
Top
50
In Computer Vision
Top
100
In Data Governance
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
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AI generated from product descriptions
Agent and Application Observability
Full visibility into AI agent behavior through tree-structured traces capturing user inputs, routing logic, tool calls, memory access, and model outputs with native support for Amazon Bedrock Agents and open-source frameworks
Prompt Optimization and Testing
Prompt IDE environment enabling design, testing, and comparison of prompt versions with live inputs, outputs, and integrated evaluation results for iterative improvement
LLM and Agent Evaluation
Offline and online LLM-as-a-Judge evaluations assessing accuracy, tool-calling, planning, and goal achievement across agent workflows
Closed-Loop Improvement Workflows
Self-improving agent capabilities combining trace analysis, evaluation feedback, and golden datasets for continuous iteration and performance enhancement
Real-Time Monitoring and Alerting
Custom metrics definition and monitoring of latency, token usage, and failures with alert configuration for production issue detection and prevention
Multi-Model Type Support
Supports monitoring and observability for tabular, deep learning, computer vision, natural language processing, and large language model deployments
Performance and Drift Detection
Identifies and mitigates model performance degradation, data drift, data integrity issues, hallucination, accuracy, safety, and security issues in production deployments
Root Cause Analysis and Diagnostics
Provides powerful root cause analysis and diagnostic capabilities with 3D UMAP visualization for macro-level trend analysis and micro-level issue identification
Enterprise Security and Access Control
Implements SOC2 Type 2 security compliance and role-based access control (RBAC) for level-specific user permissions across protected environments
Customizable Analytics and Metrics
Offers customizable dashboards, reports, and custom metrics to track model performance aligned with business KPIs and enable data-driven decision-making
Data Quality Monitoring
Automated monitoring and alerting across data vitals with out-of-the-box anomaly detection and configurations for identifying data quality issues.
Multi-Data Type Support
Capability to monitor tabular, image, and text data types across machine learning applications and data pipelines.
Privacy-Preserving Architecture
Platform operates on processed data summaries rather than raw data, enabling privacy preservation and no-configuration deployment at scale.
Comprehensive ML Observability
Unified monitoring of model inputs, outputs, performance metrics, data drift, concept drift, and upstream data quality issues in a single platform.
Broad Integration Ecosystem
Integration with popular ML and data tools including Pandas, Apache Spark, AWS SageMaker, MLflow, Flask, Ray, RAPIDS, and Apache Kafka.
Standard contract
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Customer reviews
Digvijay S.
Reliable AI with Accurate Information
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
I like that Arize AX is a more accurate AI and doesn't provide any false information. It's very important for me because it provides interesting and meaningful facts. The AI is user-friendly and doesn't fail, which I find very reliable. The deeper knowledge features help me analyze and get information deeply, and it helps with any topics by defining and providing answers. The setup was very easy, and I appreciate being able to get accurate information quickly without wasting time.
What do you dislike about the product?
I sometimes encounter errors in some numbers.
What problems is the product solving and how is that benefiting you?
Arize AX helps me think deeper, providing genuine information and topics. It's critical for studying and getting meaningful facts.
Yetender S.
Powerful AI Observability Platform for Production LLMs
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
The best part of Arize AX is its excellent intelligence And tracing levels. Its Intuitive UI/UX, making complex drift checking, performance checking and RCA analysis. Its top notch performance totally justified it ROI.
What do you dislike about the product?
While setting up modified integrations took more time than anticipated.
If i am talking about its onboarding in its vast depth features can feel overwhelming. While navigating it feels slightly cluttered.
If i am talking about its onboarding in its vast depth features can feel overwhelming. While navigating it feels slightly cluttered.
What problems is the product solving and how is that benefiting you?
Arize AX focuses on business ROI & Risk deduction.
The first benefit is to save mean time to resolution for debugging, which saves or significant engineering hours. It provides automated racings which smooths or entire monitoring process.
The first benefit is to save mean time to resolution for debugging, which saves or significant engineering hours. It provides automated racings which smooths or entire monitoring process.
Tony D.
Powerful Tracing and Debugging That Speeds Up Issue Detection
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
The tracing and debugging capabilities are my favorite because i can quickly identify problematic steps instead of guessing what went wrong
What do you dislike about the product?
there are a lot of features available which can feel overwhelming at first it take some time to figure out which capabilities are most useful for my workflow
What problems is the product solving and how is that benefiting you?
it solves the challenge of understanding why an ai application is failing or producing poor results the tracing and evaluation tools help me identify the root cause faster
William .
Great Visibility Into AI Apps for Easier Request Tracing
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
I like the visibility arize ax give me into ai applications it makes it much easier to trace requests and understand where issues are coming from
What do you dislike about the product?
the main downside is that arize ax can take some time to learn especially when setting up tracing and evaluations
What problems is the product solving and how is that benefiting you?
arize ax help me monitor and debug ai applications by giving me visibility into traces model behavior and errors this reduces troubleshooting time and help me improve reliability
Computer Software
Arize AX Makes LLM Debugging Faster with Clear, Data-Driven Visibility
Reviewed on Aug 25, 2026
Review provided by G2
What do you like best about the product?
I really like how Arize AX makes it easy to trace, evaluate, and debug AI applications in one place. It helps quickly identify where an LLM workflow is having issues and makes the improvement process much more data-driven. The biggest upside for me is saving time while getting better visibility into application performance.
What do you dislike about the product?
One thing I dislike about Arize AX is that it can feel a little overwhelming at first because there are many features and metrics to understand. It takes some time to learn where everything is and how to get the most value from the platform. A simpler onboarding experience and more guidance for new users would make it easier to get started.
What problems is the product solving and how is that benefiting you?
Arize AX helps solve the challenge of understanding why an AI application is not performing as expected. It makes it easier to trace LLM interactions, evaluate outputs, and identify issues such as poor responses or unexpected behavior. This saves me time when debugging and gives me more confidence when making changes to improve the application.