Arthur is the AI performance company that helps enterprise customers deliver on the full potential of AI through performance monitoring and optimization, explainability, and bias mitigation. We are an equal opportunity employer and believe strongly in front-end ethics: building a company and industry where strong performance and a positive human impact are inextricably linked.
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Adam co-founded Arthur and serves as CEO. Adam has over 20 years of experience in the AI, Machine Learning and software development spaces. Prior to founding Arthur, he founded and acted as CEO for Anax Security, a DC-based startup focused on Machine Learning for large-scale defensive cybersecurity. After Anax’s acquisition by Capital One, Adam served as Capital One’s VP of AI & Data Innovation, leading transformative projects across the business. There, Adam helped bring AI observability, fairness, and explainability to high value areas such as credit, user experience, cybersecurity, marketing, fraud & financial crimes monitoring and operations automation. Adam holds a BS in Computer Science from the University of Maryland.
John serves as Co-Founder of and Chief Scientist to Arthur. He is also an Assistant Professor in the Department of Computer Science at the University of Maryland. He specializes in solving problems at the intersection of economics and artificial intelligence using techniques from machine learning, stochastic optimization, and computational social choice. He has worked extensively in the design and fielding of markets in healthcare and in advertising. John brings to Arthur a unique blend of academic pursuit and industry problem solving. He holds a PhD in Computer Science from Carnegie Mellon University.
Keegan is Arthur’s VP of Machine Learning. He is also an Adjunct Assistant Professor in the Data Science Program at Georgetown University where he teaches courses in machine learning and deep learning. Keegan comes to Arthur from Capital One where he was the Director of Machine Learning Research and developed applications of ML to key financial services areas. He has also held roles at cyberdefense firms and is currently a Co-Founder and Chair of the Conference on Applied Learning for Information Security (CAMLIS). Keegan holds a PhD in Neuroscience from the University of Texas.