Norm AI
Scott Worland currently serves as the Head of Engineering at Norm AI and is a Visiting Research Fellow in AI and Law at Emory University School of Law. Previously, Scott was a Staff Data Science Manager at Thyme Care, overseeing data scientists and engineers while focusing on statistical models for performance-based contracts in value-based care. Prior roles include VP of Data Science at FreightWaves, Director of Data Science at Cornell University, and Research Scientist at the U.S. Department of the Interior, with expertise in machine learning and probabilistic modeling. Scott holds a PhD in Civil and Environmental Engineering and a Master's degree in Finite Element Methods from Vanderbilt University, as well as a Bachelor's degree from Georgia College & State University with a perfect GPA.
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Norm AI
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Regulation-aware AI agents purpose-built for compliance teams. On a mission to automate regulatory compliance, Norm Ai has built the first Regulatory AI Agent platform and is now serving Chief Compliance Officers at companies spanning from the Fortune 100 to small businesses. Norm Ai raised an $11.1 million seed round, led by Coatue, with participation from Haystack Ventures, M13 Ventures, Basis Set Ventures, Expa Ventures, Atypical Ventures, and AI researchers such as the founding CEO of the Allen Institute for AI. Norm Ai is automating compliance processes, making them more efficient, cost-effective, and accurate than ever, while also ensuring democratic guardrails for AI in autonomous roles. By converting complex regulations into intelligent AI programs, we enable compliance teams to operate with unprecedented speed and precision.