by Apparel Resources News-Desk
15-May-2018 | 2 mins read
Stoll, the German pioneer in knitting machinery manufacturing, and Myant, Canada’s leading textile computing brand, have announced the launch of their ‘Digital Textile Factory’ partnership which will focus on promoting the ‘smart textile’ industry.
The Digital Textile Factory will lay the platform for the mass application and adoption of textile computing, a category that merges tech advancements to deliver solutions for companies who wants to innovate textiles.
Notably, Stoll has over 140-plus years of experience in providing 3D knitting machinery and software and creating ‘knitelligence’. and with Myant alongside, the aim will be to create a virtually accessible network in the textile supply chain.
Andreas Schillhammer, CEO, Stoll, stated that the firm is trying to provide innovators, entrepreneurs and established industry enterprises with a ‘virtual factory’ where they can do research and development and design and manufacture at scale. “We are building a solution for global manufacturing and production problems,” he added.
The Digital Textile Factory will boost the availability of the advanced technology and give an access to manufacturers to high-tech textile computing machinery which will help them improve production standards.
“I truly believe that the Digital Textile Factory will guide large and small companies alike from a single idea through research and development, rapid prototyping and onto production,” says Tony Chahine, CEO, Myant.
By merging Myant’s technical proficiency with Stoll’s innovative 3D knitting systems, integration of technology into textiles with sensors and actuators will be made possible, which will create a platform for innovations and disruptions that will define the ‘future of textiles’.
Notably, both tech providers previously worked together to revolutionise functional computing textile technology. The objective of the collaboration is to lessen the issues faced by the manufacturers while innovating textiles and its production processes.