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iFAKT GmbH

Company (SME)

ifakt.de/Stuttgart, Germany
6 profile visits

About

At iFAKT GmbH, we specialize in delivering innovative software solutions tailored to optimize business processes and enhance operational efficiency. Our team is dedicated to developing custom applications that address the unique challenges faced by our clients in various industries. We pride ourselves on fostering strong partnerships, leveraging cutting-edge technology, and providing exceptional support, all aimed at driving growth and success for our clients. Together, we strive to transform the way businesses interact with technology and achieve their goals.

We are currently working on the simulation of deassembling lines for remanufacturing, decision assistant tool kit for R-Strategies and a number of other circular economy topics

Data technologies, data ecosystems and cross-linking

Data ecosystems for the realisation of circular value creation exploiting the full potential of digitalisation – e.g., harnessing existing, purpose-built platform solutions.(AI based) process and system control technologiesSimulation models and predictive analytics to assess the scalability of circular processes across industriesDesign of an adaptable Digital Product Pass

Other enabling technologies

Manufacturing and machine learning, e.g., to increase the flexibility of industrial processes, modular approaches, reduce use of materials, quality assurance and certification of products)AI-driven diagnostic systems, e.g., for assessing the viability of reused, remanufactured, and recycled componentsIndustry 4.0 technologies (IoT, big data analytics) for monitoring and managing circular value chainsLife cycle assessment / Product life cycle management – e.g., Digital Twin / Digital Product PassportReverse Manufacturing (e.g. adaptive automation for high variance, sorting, sophisticated logistic systems)

Representatives

Steffi Stambera

Data Scientist

iFAKT GmbH

Marketplace (1)

  • Expertise

    Specialists für AI and Data Science

    Expertise: Industry 4.0, digital twin, process optimizing, asset management shell (AAS), AI applications , circular economy, simulation

    • Data ecosystems
    • Reverse Manufacturing
    • Industry 4.0 technologies
    • AI-driven diagnostic systems
    • Manufacturing and machine learning
    • Simulation models and predictive analytics
    • (AI based) process and system control technologies
    Author

    Steffi Stambera

    Data Scientist at iFAKT GmbH

    Stuttgart, Germany