Arize AI
by Jason Lopatecki and Aparna Dhinakaran
AI observability and LLM evaluation platform for monitoring and improving ML models
Agent Details
Quick Links
About Arize AI
Arize AI is an ML observability platform that helps AI engineers and data scientists monitor, troubleshoot, and evaluate LLM models. It enables teams to surface model issues quickly, resolve root causes, and improve overall model performance. The platform supports continuous monitoring and improvement across the entire ML lifecycle, from deployment to production, with features for detecting drift, analyzing performance, and tracing issues back to problematic data
Key Features
- AUTOMATED ISSUE DETECTION,
- ROOT CAUSE ANALYSIS,
- PERFORMANCE MONITORING,
- TRACING WORKFLOWS,
- EXPLORATORY DATA ANALYSIS,
- DYNAMIC DASHBOARDS,
- LLM EVALUATION FRAMEWORK,
- EXPERIMENT RUNS SUPPORT,
- CUSTOM EVALUATIONS
Use Cases
- DETECTING MODEL DRIFT IN PRODUCTION,
- ANALYZING AGGREGATE MODEL PERFORMANCE,
- CONDUCTING A/B PERFORMANCE COMPARISONS,
- MANAGING DATA QUALITY ISSUES,
- ANALYZING MODEL FAIRNESS METRICS,
- EVALUATING LLM TASK PERFORMANCE
Similar Agents in Observability
AgentOps
Leading AI Agent Observability Company
Relari (YC W24)
Testing, Evaluation and Synthetic Data for AI Agents
Maxim AI
Evaluate and improve AI Agents, faster
Inspeq AI
The enterprise platform for operationalising Responsible AI principles for Gen AI applications.
Portkey
Control Panel for AI Apps
Guardian
Securing the Future of Autonomous Intelligence