Arize AX Demo (2025): One place for development, observability, and evaluation.

Описание: Arize AX is built to help you accelerate development of AI apps and
agents – then perfect them in production. Arize AX feautres Alyx, a built-in co-pilot with agent mode.

Request a demo or lunch-and-learn workshop for your team: https://arize.com/request-a-demo/
Free signup: https://app.arize.com/auth/join

Key Arize AX features include:
GenAI Tracing
Unlock instant, end-to-end visibility into your AI applications and agents with seamless OTEL instrumentation for both development and production environments. Automate observability with built-in support for leading AI frameworks, eliminating complex setup. Gain granular insights with detailed tracing of prompts, variables, tool calls, agents, and assistants—empowering you to pinpoint issues faster.

LLM Evaluation & LLM as a Judge
Evaluation-driven development assesses your AI’s performance with automated evaluations at every stage. Trigger checks as you push code, with LLM- as-a-Judge powered insights explaining issues and code-based tests catching errors early. Run evaluations at scale in production to ensure reliable, high-performing AI systems

Real-Time Monitoring
Real-time visibility with AI-powered monitoring that detects anomalies, forecasts failures, and automates root cause analysis. Stay ahead with auto-thresholding, integrated alerts via PagerDuty and Slack, and fully customizable metrics for complex systems. Scaled monitoring, analytical dashboards, and AI-assisted metric creation keep your performance optimized and reliable.

Annotations
Combine human expertise with automated workflows to generate high-quality labels and annotations. Quickly identify edge cases, refine datasets, and enhance your AI applications with smarter, more reliable data inputs.

Prompt & Eval IDE
Prompt playground and eval hub to design, test, and evaluate prompts in a unified workspace built for iteration. Leverage built-in evaluation tools and feedback loops to optimize functionality, address edge cases, and continuously improve your AI applications across development and production.