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
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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
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Customer reviews
Ramesh P.
Bridges Development and Production Seamlessly
Reviewed on Mar 11, 2026
Review provided by G2
What do you like best about the product?
I appreciate Arize AI for its ability to bridge the gap between development and production. I find the field level observability feature really useful as it allows me to compare, debug, and optimize models instead of only relying on high-level performance metrics. I also like that the initial setup is quick and intuitive, which makes it easy to get started.
What do you dislike about the product?
I dislike that the output isn't showing the dashboard correctly.
What problems is the product solving and how is that benefiting you?
I use Arize AI for field-level observability to compare, debug, and optimize models beyond high-level performance metrics.
Hospital & Health Care
Custom Code Evaluator and Live Tracing Make Projects Shine
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
Custom Code Evaluator and Live tracing projects.
What do you dislike about the product?
when you choose to run 10/20 rows in the playground by selecting the dataset.
Instead of first 10 rows it randomly runs any 10 examples.
Which doesn't helps with the consistency in running the evals
Instead of first 10 rows it randomly runs any 10 examples.
Which doesn't helps with the consistency in running the evals
What problems is the product solving and how is that benefiting you?
Logging and Monitoring for the LLM .
Rohit K.
Insightful Evaluations with Prompt Management Needs
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
I really like the evaluation aspect of Arize AI. It excels in running offline and online based evaluations, which is something I find valuable. I appreciate its ability to test against different prompts and LLM models by conducting various experiments. This feature is definitely a strength of the Arize AI platform.
What do you dislike about the product?
I think a couple of things I've already shared with the Arize support team. One is we would love to get more of the prompt management features or capabilities. It has got to do with categorizing these prompts by, you know, let’s say, by a BU or maybe by different verticals within the organization. Whether the prompt management capabilities have integration with data sources, external data sources. We definitely had challenges because we were, I think, one of the first guinea pigs in terms of integrating with the Arize platform. Arize, as a platform, didn't have out-of-the-box capability to support the integration at that point in time. So there was quite a bit of, you know, a few tweaks here and there in the core base that was done to get it up and running.
What problems is the product solving and how is that benefiting you?
Arize AI provides insights into LLM and Gen AI workloads, helping analyze and troubleshoot issues. It supports offline evaluations, giving developers confidence before production, and offers insights into efficiency and safety KPIs.
Hospital & Health Care
Accessible Trace Viewing with Powerful Filtering and Trace Tree Insights
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
I like how accessible it is to view traces, spans, and sessions, along with the evaluation methods. It’s also helpful that I can access them either through the UI or even offline. The filtering of data also makes it very easy to view the required spans, traces and sessions. Also the trace tree feature is very helpful to view the kind of each span.
What do you dislike about the product?
There’s really nothing to dislike. The only thing I’d change is making the filtration a bit simpler, because it took me a while to understand. Once I got how the filtration works, though, I was able to connect without any issues.
What problems is the product solving and how is that benefiting you?
It helps with evaluating LLM tool-calling workflows, such as agents, as well as assessing business-level summaries. It provides logging mechanisms so you can see what input is being sent to the LLM and how it generates its outputs. This also helps users improve their prompts and review the LLM performance of their tool accordingly.
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