Trikoton

The Voice Knitter

Trikoton is more than a normal fashion label: we're an interdisciplinary team which explores new ways of interactive creation and manufacturing process to produce items with a personal and poetic attitude. Situated in Berlin, we're working together with local manufacturers, bringing together traditional and new technologies, to ensure high quality products for concerned consumer.

The people

Magdalena, Hannes, Hanna, Achim (l.t.r.)
Magdalena Kohler (Fashion Design)
Recently graduated in Fashion Design (University of the Arts Berlin) Magdalena created the first Voice Knitting Patterns in 2007, together with Hanna. Since then she was constantly developing her knowledge about patterns and yarn, designing the Trikoton Collection.

Hanna Wiesener (Product Design)
Together with Magdalena, Hanna finished her studies in Product Design at the University of the Arts Berlin (UdK) and she is now occupied to design all those little things around the collection.

Achim Amman (Business Administration)
Achim has worked in France and the UK and established a succesfull online business after graduating from the Henley Business School in 2008. He has joined the team in spring 2009 developing the business side of things.

Hannes Nützmann (Interactive Media)
Hannes joined Trikoton when he was finishing his BA in Computer Science in 2009 and he was creating the first versions of our pattern generator. Since then he is constantly coding and designing to improve our website and the interactive recording box.


Support

Sponsored by the department of Economics and Technology based on a resolution of German Bundestag.





Gelsomina, or how it all began

Gelsomina knitting machine
For the „Ars Electronica“ festival in 2007 Hanna and Magdalena created ‘Gelsomina’, the Voice Knitting Machine: an installation based on an old mechanical knitting machine of the 1970ies, that was hacked to become interactive, using voice signals. Therefore they used a microcontroller and 24 small engines in order to imitate a pattern card that could be directly controlled by live user input which was processed via a connected computer.