Yobi is Ethically Democratizing the AI Revolution
Max Snow
Founder & CEO
Max is the Founder and CEO of Yobi.
Bennett Hillenbrand
Chief Product Officer
Bennett has spent the last 15 years in data science & engineering, most recently managing User Privacy & Data Policy at Meta (incl. Facebook). He also teaches courses on product management & policy development at Georgetown University.
David Honig
SVP of Corporate Development
David has spent his career building and scaling high-growth tech & media startups, including DoubleClick (acquired by Google), Buddy Media (acquired by Salesforce), and Dynamic Signal (merged with Social Chorus to form firstup.io). Most recently he was the Chief Commercial Officer at Frame AI before joining Yobi AI.
Rani Nelken
VP of Engineering
Rani has spent the last 30 years building software and high scale systems, most recently leading research, engineering, and machine learning at Twitter, Spotify, and Outbrain.
Tom Griffiths
Co-Founder & Researcher
Tom Griffiths is the Henry R. Luce Professor of Information Technology, Consciousness and Culture in the Departments of Psychology and Computer Science at Princeton University.
Frank Portman
Founding Machine Learning Engineer
Frank has spent the last 10+ years working on high scale Data + AI systems, building machine learning products at Twitter, Uber, and Edmunds.
Oleg Trygub
Founding Machine Learning Engineer
Oleg has spent the last 10+ years building machine learning infra at companies like Square (CashApp + Afterpay), Lyft, and Microsoft.
Stuart Axelbrooke
Founding Machine Learning Engineer
Stuart spent the last 13 years in software engineering and machine learning, most recently working on the recommendations team at Amazon.
Evan Culver
Founding Machine Learning Engineer
Evan spent the last 20 years in tech, at companies like Yahoo, Mahalo, and Wiredrive. Most recently, he’s focused on software engineering and machine learning at companies like Uber, Splunk, HashiCorp, and Segment.
Brian Dolhansky
Founding Machine Learning Engineer
Brian spent 10+ years in scientific research before receiving his PhD in Machine Learning, and working on solving Data problems with AI at Meta (incl. Facebook & Instagram), Reddit, and Amazon.
Kiarash Rezahanjani
Founding Machine Learning Engineer
Kiarash has spent the last 15+ years working on distributed systems, most recently working on Data + ML Infrastructure at Spotify, Ooyala, and Yahoo!
Kirsty King
Director of Business Development
Kirsty has spent 20+ years working with Agencies & Publishers in Sales & Marketing. She spent the last 9 years leading sales, marketing, and business development for MBuy, a MediaOcean business.
Travis Borth
Director of Business Development
Travis has spent the last 13 years in Sales & Business Development within the Adtech space, working for companies like Amazon, Rocket Fuel, Viant, and Ogury.
Jesse Kolb
Founding Machine Learning Engineer
Jesse spent the first 5 years of his career as a research scientist, before building machine learning products at Twitter, Airbnb, Uber, and Edmunds.
Colin Brown
Founding Machine Learning Engineer
Colin spent the first 5 years of his career in computer science research before spending time at MongoDB and hackNY.
Ranqi Zhu
Founding Machine Learning Engineer
Ranqi has spent the last 10+ years on the bleeding edge of innovation around human behavior and robotics systems. Most recently he worked on machine learning and computer vision at Meta (incl Instagram) and Spotify.
Fernando J. Mora, Jr.
Head of GTM
Fernando has spent the last 13 years building Data + AI/ML startups, most recently at Arize AI, Domino Data Lab, Denodo, and Alteryx.
Why we built Yobi?
AI performance is only as strong as the data that fuels it, and data has been hard to come by. Advanced AI/ML teams are investing heavily in AI efforts, but data scarcity is a problem that Gartner estimates will amplify 6,000% next year. Third-party data has become incredibly expensive and can’t be used for AI/ML efforts in raw format.
What makes Yobi unique?
Since 2019, Yobi’s team has focused on tackling the most fundamental challenge related to AI/ML development: building predictive feature sets from high quality data. Recent studies have highlighted the lack of high quality data to support sophisticated AI and ML development.
Yobi makes the most of its consumer behavior dataset (combining 300M consumers with petabytes of signals across trillions of dollars in spend) by combining innovative machine learning + behavioral science to create a clear picture of consumer behavior, making the same kind of cutting-edge research used by large technology companies available to all.
Yobi is Private by Design
Yobi provides these signals for AI/ML modeling without exposing raw consumer data. Yobi’s entire process, from end to end, is Private by Design, as maintaining ethical boundaries and protecting user privacy is at the forefront of our business model.
