digeiz.

digeiz.

  • Immobilier commercial, Intelligence artificielle / Machine Learning, SaaS / Cloud Services
  • Boulogne-Billancourt
  • Voir le site

    Backend

    • SqlAlchemy
      SqlAlchemy
      100%
    • Python
      Python
      100%
    • PostgreSQL
      PostgreSQL
      100%
    • OpenCV
      OpenCV
      100%
    • NumPy
      NumPy
      100%
    • Gstreamer
      Gstreamer
      100%
    • Flask
      Flask
      100%
    • C++
      C++
      100%
    • CUDA
      CUDA
      50%
    • C
      C
      50%

    Frontend

    • React JS
      React JS
      100%
    • D3.js
      D3.js
      100%

    Devops

    • SaltStack
      SaltStack
      100%
    • OVH
      OVH
      100%
    • GitLab
      GitLab
      100%

Présentation

Digeiz provides high-traffic sites (e.g. shopping centers, train stations, airports) with unparalelled first party statistics on their pedestrian flows. Its suite of KPIs help business models based on traffic and audience monetization in the physical world to thrive.

Digeiz supports its clients by providing expertise in the generation and use of these statistics, from traditional commercial real estate businesses to media applications (DOOH & programmatic). The software developed by Digeiz leverages neural networks and CCTV images in full compliance with the GDPR. Digeiz processes all images in real time, without recording.

The anonymous footfall data provided offers endless business applications such as: measurement and segmentation of entrances / exits flows, understanding customer journeys, designing drive-to-store strategies, and measuring media campaign performance.

The Digeiz solution is being deployed into 9 countries, in the largest shopping centers in Europe.

Ce qu'ils recherchent

Ambitious & humble teamplayer colleagues.

Bon à savoir

You are more likely to be recruited if:

  • you like to play soccer or bastketball during lunch breaks
  • you know how to creat emojis and memes on Slack
  • you read science fiction or love tech
  • you like merry gathering for lunch, chocolat, truffle or both.

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