Arthur AI
About
AI Analytics Tools
Arthur AI provides analytics dashboards for understanding AI model behavior in production, including performance trends, data distribution changes, prediction patterns, and anomaly detection. Its root cause analysis tools help teams diagnose why model behavior has changed, providing actionable insights for maintaining model quality.
AI Bias Detection
Arthur AI includes comprehensive bias monitoring that tracks fairness metrics across protected demographic groups over time. The platform detects disparate impact, monitors for bias drift in production, and provides explainability features that reveal which input features influence predictions, helping organizations ensure their AI models treat all demographic groups equitably.
AI MLOps Tools
Arthur AI provides production monitoring and observability for machine learning models, tracking performance metrics, data drift, prediction quality, and model health in real time. Its automated alerting, root cause analysis, and integration with ML infrastructure tools make it a key component of MLOps workflows for maintaining reliable AI systems in production.
AI Safety Tools
Arthur AI provides AI safety monitoring through Arthur Shield, which evaluates LLM inputs and outputs in real time to detect hallucinations, toxic content, sensitive data exposure, and prompt injections. Its monitoring capabilities ensure that AI applications operate within defined safety boundaries and alert teams when model behavior deviates from acceptable standards.
AI Testing Tools
Arthur Bench provides an evaluation framework for comparing and benchmarking LLM performance across different models, prompts, and configurations. Organizations use it to systematically test and evaluate generative AI applications before deployment, measuring quality, accuracy, and safety across standardized test suites.
