ZYTLYN Technologies

www.zytlyn.com

At ZYTLYN we help companies across travel industries shape the future with predictive insights, by augmenting commercial planning & operations. We create predictive travel solutions to augment decision making of companies. ZYTLYN Forecast, is our unique product focused on providing predictive insights to airlines, travel agencies, airports, destinations, hotels, car rentals, retailers, and luxury brands. Together with our customers, we're transforming aviation, travel, hospitality, tourism, finance, and more. And, we are always looking for brilliant minds to join us in this journey. Venture backed (e.g. Plug and Play, Velocity Ventures, FONGIT/Geneva) Part of 14 AI startups picked by Europe's top VCs by Business Insider Number 49 in most promising Swiss startups by Venturelab 2022 1 of 6 selected startups as part of the Accelerate@IATA 2022

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At ZYTLYN we help companies across travel industries shape the future with predictive insights, by augmenting commercial planning & operations. We create predictive travel solutions to augment decision making of companies. ZYTLYN Forecast, is our unique product focused on providing predictive insights to airlines, travel agencies, airports, destinations, hotels, car rentals, retailers, and luxury brands. Together with our customers, we're transforming aviation, travel, hospitality, tourism, finance, and more. And, we are always looking for brilliant minds to join us in this journey. Venture backed (e.g. Plug and Play, Velocity Ventures, FONGIT/Geneva) Part of 14 AI startups picked by Europe's top VCs by Business Insider Number 49 in most promising Swiss startups by Venturelab 2022 1 of 6 selected startups as part of the Accelerate@IATA 2022

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Employees

11-50

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Founded

2021

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Potential Decision Makers

  • Chief Technology Officer

    Email ****** @****.com
    Phone (***) ****-****
  • Co - Founder and Chief Executive Officer

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    Phone (***) ****-****
  • Advisory Board Member and Investor

    Email ****** @****.com
    Phone (***) ****-****
  • Lead Data Scientist

    Email ****** @****.com
    Phone (***) ****-****

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