Arthur is a proactive model monitoring solution that gives you the confidence that your AI deployments are performing as expected, and the peace of mind that you can catch and fix issues before they derail your models. With advanced performance monitoring, bias detection, and customizable alerts, you’ll never miss an issue; and Arthur’s explainability engine makes runtime debugging a breeze with prediction-level explanations, even for black box models. No matter where your models are deployed, Arthur brings them all into view in a centralized platform. Give your data science team the freedom to use whichever deployment frameworks and engines they want, with the knowledge that you’ll be able to monitor models anywhere with just a single line of code.

Information Technology

Arthur AI

Adam Wenchel

Raphaël Menesclou

Sabrina Richter

Victoria Vassileva

Max James

Madeleine Lane

Sophia Swiderski

Eric Liou

Teresa Datta

Daniel Nissani

Nori Tatsumi

Rob Burns

Christina Sirabella

Selena Moeljadi

Yina Moe-Lange

John Dickerson

The Product Team at Arthur AI is responsible for shaping the vision and strategy of Arthur's model monitoring solution. They work collaboratively to design, develop, and enhance product features like advanced performance monitoring, bias detection, and customizable alerts. This team ensures that Arthur’s platform remains user-centric, scalable, and effective, providing seamless integration and valuable insights for data science teams.

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