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%.

AI/ML

Consumer Services

Data

Enterprise Software

Yobi AI

Max Snow

Brian Dolhansky

Stuart Axelbrooke

Jesse Kolb

Colin Brown

Bennett Hillenbrand

The Machine Learning and AI team at Yobi AI is responsible for developing and fine-tuning the company's foundational models built on consumer decisions. Utilizing petabytes of anonymized consumer signals and leveraging their expertise from industry heavyweights like Twitter, Spotify, Meta, Amazon, and Uber, the team aims to improve ML performance, enhance predictive accuracy, and hyper-personalize customer experiences. Their work ensures the ethical and effective use of first-party data while maintaining consumer privacy.

Machine Learning and AI

Leadership Team

Machine Learning and AI

About

Team members

Other teams at Yobi AI

Leadership Team