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  • This graph depicts the real-time model evaluation functionality which helps in analyzing and monitoring the model predictions before deploying a model to production.

    Imagimob’s visual Graph UX revolutionizes Machine Learning modeling on the Edge

    Now IMAGIMOB Studio users can visualize their machine learning modeling workflows and leverage advanced capabilities to develop edge device models better and faster. Imagimob have launched the all-new Graph UX interface, designed to bring greater ease and clarity to the ML modeling process while offering advanced new capabilities such as built-in data collection and real-time model evaluation.

  • Edge AI company Imagimob introduces Ready Models—the fastest way to take machine learning to production

    Edge AI company Imagimob introduces Ready Models—the fastest way to take machine learning to production

    In line with their mission to offer the best and fastest ways to take smart devices to market, Imagimob is now launching IMAGIMOB Ready Models, complete machine learning solutions guaranteed to be robust, high-performing, and production-ready for edge devices. Ready Models can be quickly deployed onto existing MCU hardware without the cost, time, or expertise required for custom development.

  • Imagimob förvärvas av Infineon som förstärker sitt erbjudande inom AI

    Imagimob förvärvas av Infineon som förstärker sitt erbjudande inom AI

    München, Tyskland och Stockholm, Sverige – 16 maj 2023 – Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) meddelade idag att man har förvärvat det svenska startup-bolaget Imagimob, ett ledande bolag inom artificiell intelligens (AI) för inbyggda system. Med Imagimob förstärker Infineon kraftigt sin position och sitt erbjudande inom AI.
    Imagimob utvecklar och säljer Imagimob AI, en heltäckand

  • Deploying Quality SED models in a week

    Deploying Quality SED models in a week

    Imagimob has the expertise, software tools and methods to deploy a good quality sound event detection (SED) tinyML model on a target device in one week with good performance in real-life. This means that customers now quickly can come to a point where they can evaluate the SED application and make a decision for going to production.

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