Kai powers key features in the Retail Media CloudTM. In Kevel Ad Server, it informs forecasting, pacing, decisioning, and custom relevancy to give retailers smarter results. In Kevel Audience, Kai’s advanced machine learning models provide user-level predictions and the AI-segment builder. With Kai, retailers promote the best advertiser and user experience and capture more ad spend from competitors.
Led by an expert team
Tim Ewald
Tim is Kevel’s CTO and has spent the last 30 years building distributed software systems to solve problems in a wide range of domains, including image analysis, content management, video processing, databases, and ad tech. He brings his experience as an engineer, architect, and engineering manager to Kevel, where he is responsible for the entire cloud platform. Tim is an author and conference speaker, who holds a Bachelor's in Computer Science from Hampshire College. Outside of the office, he builds furniture using hand tools.
Paulo Cunha
Paulo has been building products for the digital marketing and advertising industry for over 18 years. After completing his BSc in Computing from London Met, he started his career developing products at companies such as Acxiom and Wunderloop – Europe’s first behavioral targeting technology. Paulo later founded ShiftForward, where he launched products such as the Private CDP and the Ad Forecaster and served as CEO, completing its exit to Velocidi in 2018 and later to Kevel in 2022. Paulo also helps tech startups as a board advisor and as a mentor in the Founders Founders community which he helped create in Porto, Portugal.
Paul De Grandis
Paul is an information systems and innovation leader. He helps organizations use their knowledge and assets to gain competitive advantages through novel, strategic innovations and creative culture driven by a human-centered, results-oriented approach. Working with startups and Fortune 500 companies alike, Paul envisions and executes new technical strategies, unlocking value with next-generation information systems. He is a member of ACM and W3C Advisory Committee (Kevel’s AC Rep), and participates in the ACM Global Practitioner Advisory Board and W3C groups. His open source contributions include Clojure, ClojureScript, Pedestal, PyPy and more.
Richard Carter
Richard has over 20 years experience applying mathematics, statistics and machine learning to solve business problems. His career has spanned financial services, algorithmic trading, consultancy and advertising, working for stellar companies such as Goldman Sachs and Amazon. In his role as Principal Data Scientist he is responsible for bringing innovative machine learning-based features to Kevel's Kai platform. Richard holds a PhD in Machine Learning from the University of Edinburgh.