Infineon Technologies AG announced that it has acquired Imagimob, a Stockholm, Sweden-based startup, a leading platform provider for the development of machine learning (ML) solutions for edge devices. With this acquisition, Infineon further strengthens its leading position in machine learning solutions and significantly expands its AI product lineup. Imagimob provides an end-to-end, highly flexible and easy-to-use machine learning tool chain with a focus on delivering production-grade ML models. Infineon will acquire 100 percent of the company, and both parties have agreed not to disclose the exact amount of the deal.
Thomas Rosteck, President of Infineon Security Connected Systems, said: "Artificial intelligence (AI) and machine learning will be involved in embedded applications at scale and bring new capabilities. With Imagimob's outstanding platform and its expertise in developing powerful machine learning solutions for edge devices, we will be able to further strengthen our capabilities to take our products to new levels of control and energy efficiency while protecting user privacy." In addition, based on a combination of advanced sensors and iot solutions, we are able to help our customers take full advantage of AI/ML to bring their products to market quickly."
Anders Hardebring, co-founder and CEO of Imagimob, said: "By joining Infineon, we are able to accelerate our customers' product and technology development, empower new applications and help them differentiate themselves in the market. As a global semiconductor leader in power systems and the Internet of Things, Infineon has deep application expertise and a broad product portfolio. Becoming an important part of the Infineon ecosystem will enable us to efficiently and securely deploy and implement advanced sensing and control in iot environments."
Imagimob is a leader in the rapidly growing micro machine learning and Automated Machine Learning (AutoML) market, providing an end-to-end development platform for machine learning for edge devices. Imagimob's platform supports a variety of application examples such as audio event detection, voice control, predictive maintenance, gesture recognition, signal classification, material inspection, and will further expand Infineon's hardware and software ecosystem. The combination of expertise and application to the complete sensor portfolio will provide existing customers of both companies with a unified user experience across products, enable rapid deployment of powerful solutions, and accelerate the further adoption of micro machine learning across all applications and domains.
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