IAC Research Institute

    IAC Research Institute

    IAC Research Institute

    The IAC Research Institute is an applied research center that bridges the gap between pioneering technologies and industry challenges. We act as a strategic partner for forward-looking companies to integrate tangible innovations into their products and organizations.
    The institute hosts researchers and PhD students from leading universities who work in collaboration with industry experts.
    Our mission:
    – Contribute to scientific progress
    – Convert scientific innovation into cutting-edge solutions, practices and methodologies that meet the practical needs of our clients.
    – To support companies in implementing effective innovation to improve their competitiveness.

    Sustainability

    Sustainability

    Industrial activities are at the heart of the environmental challenges facing humanity as a whole. They will have to adapt to climate emergencies, for example by decarbonizing entire industries in the next two decades. With the arrival of green taxonomy and environmental footprint measurement tools, sustainable development is no longer a differentiating advantage but a major pillar of industry strategy and operations.
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    R&D Excellence

    R&D Excellence

    Engineering excellence aims to rework the way projects and R&D departments operate in order to gain structural competitiveness. These approaches aim to meet the challenges currently faced by manufacturers: increased complexity of solutions brought to market, increased customer demands during the development phases and strengthening of team skills to meet these challenges.
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    Design-for-Variety

    Design-for-Variety

    Design-for-Variety is an approach that reconciles two worlds: on the one hand, sales, which seeks to offer more and more variety and differentiation, and on the other hand, operations, which must manage the complexity induced by variety from development to industrialization.
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    AI & Data Analytics

    AI & Data Analytics

    Exploiter la valeur des données et traduire ces technologies en solutions pragmatiques dans un contexte industriel est un défi complexe. Les entreprises cherchent à intégrer l’intelligence artificielle dans leurs offres de produits et de services.
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