With the rise of industrial IoT, high return on investment is expected from predictive maintenance solutions. But unfortunately, the lack of historical failure data to train machine learning algorithms in the last years, has led to a lot of frustrations from industrial customers and investors. A new route to success had to be opened. This could only come from academic research. Thanks to its novel technology invented by CNRS (National Center of Scientific Research), in the last 18 months, Amiral Technologies has proven to several customers that its breakthrough approach to failure prediction has removed this major roadblock to reaching high ROI.
Dans cet article publié par Bpifrance au sein du programme Génération Deeptech, Simon Gazikian, CEO d’Amiral Technologies explique les avantages
Amiral Technologies announces DiagFit 2.0, its blind failure prediction software. DiagFit 2.0 is developed to support industrial groups in predictive