At the heart of Ubex’s advertising purchasing algorithms, lie neural networks that process information about each visitor to the member networks’ websites. The neural networks evaluate the interests of users, calculate the likelihood of targeted actions for all advertiser offers, and choose the most suitable advertisement. Thanks to this, member network website visitors see only those ads that are maximally confined to their interests, and which would convince them to fulfill the target action with maximum probability. Thus, Ubex maximizes the targeting of advertising and the economic efficiency for advertisers. Ubex aims to solve the problem of low confidence in the purchase of digital advertising. Smart contracts allow for making the relationship of advertisers and publishers (owners of ad slots on sites) as transparent and fair as possible, as well as minimizing the risks for all parties. By applying such an approach, Ubex allows passage from the traditional pay per click scheme to the model of payment for targeted actions, the most fair and interesting model for advertise

Artem Chestnov, CEO and Co-founder

Daniel Biesuz, Ubex Head of Legal and Co-founder

Dan Gartman, CTO

Andrew Rippon, COO

Kathrin Anthony, Head of Global Sales

Cooz Komei Tokita, Director Business Development

Alberto Maiorana, Ubex Strategic Partnerships

Iyke Aru, Community director Africa

Alex Korobkov, Ubex IR director

Igor Selivanov, Senior Full-Stack & Blockchain Engineer

Alex Zhmurin, Senior Javascript Engineer

Eugeny Matveev, Full-Stack Engineer

Igor Vatamaniuc, Javascript Front-end Engineer

Sandris Murins, AI Tokenization expert

Kevin Wong, Marketing Manager in China

Quentin Marchand, Ubex Editor

Nguyen Minh, Tri Assistant Editor

Manuel Garcia del Arco, Deputy Editor

Almir Salimov, Ubex BD, Korea

Christian George, Localization, Manager DACH

Linkedin Team

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