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.
4.2
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.
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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 |
Vendor refund policy
No returns or refunds.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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.
Updated weekly
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
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
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
No
No
No
Customer reviews
Consumer Goods
Arize review
Reviewed on Jun 25, 2025
Review provided by G2
What do you like best about the product?
It provides the metrics readily and allows for easy integration.
What do you dislike about the product?
Latency and custom instrumentation in most cases
What problems is the product solving and how is that benefiting you?
Visibility to the programs
Information Technology and Services
Arize provided a range of features that provide significant value in MLOps.
Reviewed on Sep 07, 2023
Review provided by G2
What do you like best about the product?
Their search and retrieval functionality is excellent, with a diverse set of tools for various issues that can come up. The langchain integration is also immensly helpful.
What do you dislike about the product?
They have not released their prompt improvement tool kit yet which could add significant value to the platform as a whole. Improving propmt flow is very relevant to most LLM related work today.
What problems is the product solving and how is that benefiting you?
Arize AI is helping cluste prompt-response pairs and vsualise how these points are clustered together. This helps identify errors in prompts and improve the working of any LLM based tasks.
Leisure, Travel & Tourism
Robust Tool for Model Monitoring and Performance Insights
Reviewed on Sep 06, 2023
Review provided by G2
What do you like best about the product?
Arize AI offers a comprehensive platform for monitoring machine learning models in real-time. The platform's ability to provide actionable insights into model drift, data issues, and performance degradation is particularly impressive. The user interface is intuitive, making it easy to track and understand the health of deployed models. The integration capabilities with various ML frameworks are also a significant upside, streamlining the process of setting up and monitoring models.
What do you dislike about the product?
While Arize AI offers a robust set of features, there can be a learning curve for those new to ML operations. Some advanced features might require a deeper understanding of the platform, and the documentation, while extensive, could be overwhelming for beginners. It would be beneficial if there were more beginner-friendly tutorials or guided walkthroughs.
What problems is the product solving and how is that benefiting you?
Arize AI addresses the challenges of understanding and monitoring machine learning models once they are deployed in real-world environments. It provides real-time insights into how a model is performing, allowing for quick identification of any anomalies or issues that might arise.
Bunty S.
Arize helps in optimising LLM workflows
Reviewed on Sep 06, 2023
Review provided by G2
What do you like best about the product?
Optimising MLOps framework
Feedback analysis
Clustering approach to data analysis
Documentation for quick implementation
Feedback analysis
Clustering approach to data analysis
Documentation for quick implementation
What do you dislike about the product?
Software navigation bit complicated to understand at first
Only cloud instance of the software, and need to share all the data in cloud .
Only cloud instance of the software, and need to share all the data in cloud .
What problems is the product solving and how is that benefiting you?
ML and LLM Ops framework
Feedback analysis
Conversational agent output analysis
Feedback analysis
Conversational agent output analysis
Mohammed S.
Arize AI - the new gen for model explanaibility
Reviewed on Sep 06, 2023
Review provided by G2
What do you like best about the product?
The product is crisp and I understood how it operates through courses.
It has almost got everything for model monitoring and other important features. It helps in all the for ML operations.
It has almost got everything for model monitoring and other important features. It helps in all the for ML operations.
What do you dislike about the product?
Arize AI, if I am not wrong is like a dashboard. It would have been better if there was an API sort of thing where we can leverage the features through a package.
What problems is the product solving and how is that benefiting you?
I am still exploring on using the platform. Obviously, it will help in doing MLOps. I am still understanding about this through courses.