Entity
  • Amiral Technologies

    Created in 2018
  • BETA

    Up & running (A)
    Existing signals show a regular activity
  • Social networks

    2,015
  • Activities

  • Technologies

  • Entity types

  • Location

    12 Rue Ampère, 38000 Grenoble, France

    Grenoble

    France

  • Employees

    Scale: 11-50

    Estimated: 23

  • SIREN

    839798451
  • Engaged corporates

    41
    8 34
  • Added in Motherbase

    4 years, 2 months ago
Description
  • Value proposition

    [Automatic translation follows] đź”® Blind mode fault prediction software for industrial equipment, #DiagFit

    Amiral Technologies is a CNRS spin-off. Its innovation is the result of 10 years of academic research in Automation, Control Theory and Artificial Intelligence. Its technology revolutionizes IIoT data processing for critical, complex and high value-added industrial sectors. At the heart of its innovation are its algorithms for automatic generation of characteristics for industrial time series, whatever their nature. This innovation allows DiagFit, Amiral Technologies' software, to produce high-performance predictive models capable of learning with little or no historical failure data. DiagFit meets the needs of our industrial customers, both in terms of their operating contexts and their specific equipment.


    Industry 4.0, Predictive Maintenance, Prognostics, Artificial Intelligence, Machine learning, Automatic Feature Generation, IIoT, Industrial IoT, Residual life estimation, Equipment end of life estimation, Machine Learning, Predictive Maintenance, Artificial intelligence, Time series, Time series, Prediction of breakdowns, Failures prediction, Anomalies detection, Anomaly detection, Predictive models, AI, AI, ML, Energy, Transport, Manufacturing, Nuclear, Oil&Gas, Electricity, Automotive, Railway, Maritime, Aeronautic, Aircraft, Spatial, Robot, and Production lines

  • Original language

    🔮 Logiciel de prédiction de pannes en mode aveugle pour équipements industriels, #DiagFit

    Amiral Technologies est une spin-off du CNRS. Son innovation est le fruit de 10 années de recherche académique en Automatique, Théorie du Contrôle et Intelligence Artificielle. Sa technologie révolutionne le traitement des données IIoT pour les secteurs industriels critiques, complexes et à forte valeur ajoutée. Au cœur de son innovation se trouvent ses algorithmes de génération automatique de caractéristiques pour les séries temporelles industrielles, quelle que soit leur nature. Cette innovation permet à DiagFit, le logiciel d'Amiral Technologies, de produire des modèles prédictifs de haute performance capables d’apprendre avec peu ou pas de données historiques de défaillance. DiagFit répond aux besoins de nos clients industriels, tant à leurs contextes d’exploitation qu'à leurs équipements spécifiques.


    Industry 4.0, Predictive Maintenance, Prognostics, Artificial Intelligence, Machine learning, Automatic Feature Generation, IIoT, Industrial IoT, Residual life estimation, Equipment end of life estimation, Machine Learning, Maintenance Prédictive, Intelligence artificielle, Séries temporelles, Time series, Prédiction de pannes, Failures prediction, Anomalies detection, Détection d'anomalies, Modèles prédictifs, IA, AI, ML, Energy, Transport, Manufacturing, Nuclear, Oil&Gas, Electricity, Automotive, Railway, Maritime, Aeronautic, Aircraft, Spatial, Robot, and Production lines

  • Maintenance prĂ©dictive industrielle - Amiral Technologies

    Amiral Technologies est le spécialiste des modèles de prédiction de pannes en milieu industriel.

  • http://www.amiraltechnologies.com/
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