Arthur AI

Arthur AI is an AI monitoring and observability platform that helps organizations maintain visibility into the performance, fairness, and reliability of their machine learning models in production. Founded in 2018 and headquartered in New York, New York, Arthur AI focuses on providing the real-time monitoring and alerting capabilities that organizations need to ensure their AI systems continue to perform as expected after deployment, addressing a critical gap in the model risk management lifecycle. The platform's core capabilities center on comprehensive model monitoring across multiple dimensions including performance metrics, data drift, prediction drift, bias and fairness, and anomaly detection. Arthur AI provides real-time dashboards that give data science, ML engineering, and risk management teams visibility into how models are behaving in production, with configurable alerts that notify stakeholders when models deviate from expected behavior patterns. This continuous monitoring approach is essential for meeting regulatory expectations around ongoing model oversight. Arthur AI's bias monitoring capabilities are particularly notable, providing continuous tracking of fairness metrics across protected attributes such as race, gender, age, and other demographic factors. The platform can detect both disparate impact and disparate treatment patterns in model predictions, alerting teams to potential fairness issues before they result in harmful outcomes. These capabilities support compliance with anti-discrimination regulations and responsible AI commitments. The platform includes explainability features that help organizations understand why models make specific predictions, supporting transparency requirements and enabling root cause analysis when models exhibit unexpected behavior. Arthur AI integrates with popular ML frameworks and deployment environments, supporting models built in Python, Java, and other languages across major cloud platforms. Arthur AI is delivered as a cloud-based platform with API-driven integration, making it relatively straightforward to connect to existing model serving infrastructure. The company serves mid-market to enterprise organizations across financial services, healthcare, insurance, and technology sectors. While Arthur AI excels at model monitoring and observability, it focuses specifically on post-deployment model behavior rather than providing full model risk management capabilities. Organizations requiring comprehensive MRM features such as model documentation automation, validation frameworks, and regulatory compliance reporting may need to supplement Arthur AI's monitoring capabilities with additional tools. For organizations prioritizing production model oversight and fairness monitoring, Arthur AI provides a focused and effective solution.