Meet the CRTX.ai team.

We are an interdisciplinary team of sustainability and technology passionates utilizing AI powered solutions to revolutionise the textile sorting for a circular economy.

PROJECT PARTNERS

The Project Circular Textiles Intelligence (CRTX) is a 3-years collaborative research and innovation project funded through the initiative 'KI-Leuchttürme für Umwelt, Klima, Natur und Ressourcen' ('AI Lighthouses for Environment, Climate, Nature and Resources') of the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety Germany. The consortium of circular.fashion, TU Berlin and FU Berlin explore jointly how AI and spectroscopy can enable intelligent textile sorting for a circular economy.

circular.fashion

Circular Sorting Solutions

circular.fashion is a Berlin-based innovator creating product and system innovation for a circular economy in fashion and textiles. The company develops services and software for circular design as well as infrastructures and sorting innovations to empower the use of fibre-to-fibre recycling.

Technical University of Berlin

Institute for Optics and Atomic Physics

Technische Universität Berlin is a member of the Berlin University Alliance, making it one of Germany’s Universities of Excellence. The wide range of disciplines covered by the seven faculties enables TU Berlin to adopt a holistic approach on important future issues such as digitalization, sustainability and climate protection. Developing science and technology for the benefit of society is of key importance for Technische Universität Berlin.

Freie Universität Berlin

Dahlem Center for Machine Learning and Robotics

Since its establishment in 1948, the research and teaching at Freie Universität Berlin have been defined and driven by international cooperations. As a member of the Berlin University Alliance, Freie Universität Berlin is supported by the German federal and state governments’ Excellence Strategy. It maintains prestigious, high-profile academic partnerships through its joint projects and networks while considering knowledge and technology transfer a top priority.