Crowd Music

Model Night Clubs crowd to build responsive environment,get valuable insight for boosting marketing actions, provide with innovative Big Data music system.

  • Stage Concept Only
  • Industry Media and Entertainment
  • Location Milan, Italy
  • Currency EUR
  • Founded December 2016
  • Employees 4
  • Incorporation Type Not Incorporated
  • Website none

Company Summary

Our startup brings big data and artificial intelligence to nightclubs. Crowd Music uses state-of-the-art machine learning algorithms to analyze, model and predict crowd reactions to changes in music in order to drive people into the dance floor or direct to the bar. Our algorithms use sensors in smartphones to get data from people's movements. We provide analytical reports to our clients that can be used for marketing and improve user experience.

Team

  • Carlo Ceriotti
    Machine Learning Engineer

    I work as Machine Learning Engineer designing models for wifi signals for marketing purposes

  • Miguel Escalona
    Senior Machine Learning Engineer

    Miguel is a physicist (PhD) with more than 10 years working with models and machine learning. He is considered an expert on machine learning due to his several publications on recognized scientific journals and his efforts to spread the data science philosophy.
    He currently leads a data science team in a leading tourism company based in Spain.

  • Paolo Ceriotti
    Senior Manager

    Paolo is graduated in economical studies with international experiences. He is now working as Senior Manager in a major consultory company as Marketing and Strategical planning Manager.

  • Giuseppe de Maio
    Machine Learning Engineer

    Giuseppe has a Master of Science degree in Biomedical Engineering, currently working in Machine Learning and Big Data Technologies.

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