Yobi AI
Jesse Kolb is a Machine Learning Engineer with a strong background in data science and research. With experience in companies like Twitter, Airbnb, and Uber, Jesse has worked on projects related to self-driving vehicles, pricing data science, and optimization. Jesse's expertise includes developing scalable architectures for hosting machine learning models, coding algorithms for seismic data analysis, and implementing quantitative interpretation techniques for reservoir characterization. Jesse's academic background includes a Bachelor of Science in Physics from the University of Maryland.
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%.