• But today, security officers still aren't able to solve key issues

    Too many camera feeds for humans to analyze.

    Unable to intervene in real-time

    To dramatically improve passenger security, security officers must react and intervene in real-time. It is impossible to achieve today.

    Unable to reduce passenger fraud

    To reduce passenger fraud, security officers must better understand where and when exactly to make controls. It is impossible to achieve today.

  • Public authorities and transport companies are ready to invest in computer vision technology.

    Chiffres d'insatisfaction

    Unable to intervene in real-time

    Donner des chiffres

    Unable to reduce passenger fraud

    Donner des chiffres

  • The xMotion technology

    Once embedded in a chipset, our machine vision technology analyses and provides data in real-time.



    • Embedded, ultra low power consumption pre-trained computer vision software.
    • Perfectly fit to each customer by training with their own datasets.
    • Real-time detections and alerts.
    • Over the air software upgrade.


    With technology partners

    • CPU / GPU
    • Optical sensors (if the vehicles are not already equipped with)


    • Our solution will securely connect to our customers IT infrastructure.
    • Our solution will be compatible with other technology suppliers and partners.
  • Why xMotion?

    We use the most efficient machine learning and embedded software techniques.

    Real-time detection

    No bandwidth or network issues.

    Cost effective

    Low-cost processor.

    Low-power consumption

    Can be integrated into any object running on battery.

    Managing large lighting conditions

  • Our market today and tomorrow

    Public transport

    Targeted customers: Transdev, Keolis, RATP, SNCF, ADP, Arriva, Yutong, Boloré, Man, Daf, Iveco, Scania, Alstom, Thalès, Safran, Assystem, Faurecia, Bombardier, Continental, Bosch, Valéo, Delphi, Autoliv, Magna, TRW, etc.

    Fleets of autonomous shuttles and taxis

    Targeted customers: Uber, Lyft, Didi, Waymo, Apple, Microsoft, Mobileye (Intel), Nvidia, nuTonomy, Transdev, Keolis, RATP, SNCF, ADP, Arriva, Navya, EasyMile, Renault-Nissan-Mitsubishi, Tesla, Volkswagen, PSA, Toyota, Ford, General Motors, Daimler, BMW, Continental, Bosch, Valéo, Delphi, etc.

    Fleets of autonomous flying taxis

    Targeted customers: Uber, Google, Apple, Boeing, Airbus, Rolls-Royce, Virgin, SpaceX, Dassault, Continental, Bosch, Delphi, etc


  • Our B2B business model

    Annual licence + maintenance fees for each equipped vehicle.


    • Can work our own optical sensor or on our customers existing cameras.
    • Pre-trained models + Custom data training.
    • Continuous improvement through embedded machine learning algorithms.


    Our customers can install our proprietary optical sensor OR we can connect our software to our customers existing cameras.

  • Are you interested in improving passenger safety?

    Drop us a message and let's talk about it.

Legal notice

The website www.xmotion.io is edited by The Bot Studio SAS.
Registered address: 8 rue de l'Est 92100 Boulogne-Billancourt, France.
E.U. VAT number: FR 34 830 940 193 
SIRET number: 830 940 193 00014
Phone : +33 (0)6 72 85 93 26
Email : laurent@xmotion.io 

The publishing director is Laurent Dunys, CEO at The Bot Studio SAS

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