Yobi AI
Stuart Axelbrooke has a background in Electrical Engineering from Washington State University and has worked in various companies in roles such as Founder, Principal Machine Learning Engineer, Co-Founder, CTO, and Senior Machine Learning Engineer. Stuart has experience in developing machine learning solutions for customer insights, product personalization, and consumer engagement. Stuart's expertise lies in implementing modern machine learning technologies to improve relevance, increase revenue, and reduce returns for large consumer companies. Stuart is also skilled in designing and implementing complex system on a chip solutions for signal processing and system management in the embedded systems industry.
Yobi AI
Yobi's mission is to ethically democratize the AI revolution. Yobi empowers customers to leverage their existing first-party data to improve ML performance, hyper-personalize experiences, and acquire new customers. Effective AI requires more data than enterprises have today. Yobi’s Foundation Model built on Consumer Decisions (petabytes of consumer signals grounded by trillions of dollars of spend, modeled at 200B parameters), creates a non-identifiable representation of consumer behavior. This representation maintains statistical equivalence with raw data without ever revealing personal information. As a result, businesses can integrate Yobi Data into all data acquisition and customer science capabilities. Built by Twitter, Spotify, Meta, Amazon, and Uber alums, Yobi is fueled by licensed, consented first-party consumer data, is 99% accurate, 5X more predictive (than traditional 3rd party data), and boosts ML performance by 15%.