Arthur is an AI performance platform that partners with enterprise teams to monitor, measure, and improve machine learning models, with a focus on accuracy, explainability, and fairness. Arthur provides technology for organizations aiming to optimize the outcomes of their AI systems by delivering actionable insights into model performance and ensuring responsible AI deployment.
The company addresses the core challenges enterprises face when deploying machine learning in production. Arthur's platform enables teams to:
- Track and visualize model accuracy and drift
- Identify and mitigate biases to improve fairness
- Enhance model explainability for stakeholders and compliance
Arthur is distinguished by its commitment to “front-end ethics”—integrating strong performance with a positive human impact throughout the AI lifecycle. The company emphasizes building technology that makes AI work for everyone and advocates for sustainable, ethical practices in both their operations and the broader industry.
Who Uses Arthur?
Arthur's customers are typically large enterprises and organizations that rely on machine learning to power critical business processes. For example, Axios HQ is one of the known customers leveraging Arthur's platform to ensure their AI models deliver reliable and responsible results.
How Was Arthur Started?
Arthur was founded by Adam Wenchel (CEO), John Dickerson (Chief Scientist), and Zach Fry (VP, Engineering)—leaders with deep experience in AI, software development, and research. Their backgrounds help shape Arthur’s mission of enabling trustworthy, high-performing AI in real-world applications.
Where Is Arthur Based and How Big Is the Team?
Arthur is a privately held company headquartered in New York, New York, United States. The company employs between 11 and 50 people, focusing on software development for enterprise AI performance management.
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