Vaix is now part of the Sportradar family

  • With over 50 collective years of experience in iGaming, 30 years in Machine Learning & AI, and over 3 years of work building our solution, we might not be the youngest team in the industry, but have had a good start in building a platform providing a complete personalized experience to each player, from iGaming content to Player Value & offer.
  • Our journey began in in 2016 Vaix when we started applying R&D from AI leaders like Spotify & Youtube for Online Gaming for first Sports & Casino Recommender models.
  • 2017 we built our first Deep Learning-powered Player Value and Churn predictions, beating conventional BI by a mile.
  • In 2018 we moved from Deep Learning Recommenders to a full Personalization Service, adding new use cases, inputs and integrations.
  • In 2018 we also launched our Chat Management AI which allows operators better understand mindset of their players when engaged in chat.
  • In the process we have built and evaluated hundreds of different ML models using different features, architectures and training regimes following state of the art as well as our own unpublished methods.
  • 2019: the insights gained through this work and with it the support levels for our customers may have gained us the ‘Software Rising Star’ Award (plus two nominations) in the EGR B2B Awards 2019. Not our young age and looks!