An alternative to end-of-life textiles

Wear2Go has focused on the efficiency, accessibility and affordability of technologies that make a circular textile concept possible in the industry.

In order to be able to process textiles in a sustainable manner, complete clothing dismantling is necessary. Of the large quantities of textiles that are not yet separated into pure mono-flows, only a small part qualifies for reuse or downcycling; the rest is incinerated.

It is our conviction that this is an unnecessary waste of valuable resources.

Make circular clothing accessible

Textile supply chain partners involved in upcycling end-of-life textiles are often inventive, and always establish a number of criteria that must be met by the start.

The textile to be processed must be a monomaterial and as pure as possible. If there is any mixing with another raw material, such as Lycra or a coating, this must be known in advance.

The origin and composition of the materials must be known with certainty, as only then can a good result be expected. This is the only way to prevent additional costs and disappointment.

Due to functionality, sport and outdoor clothing usually consist of different types of fabrics and accessories, such as logos, labels, zippers, reflective materials, or other protective or lifespan-extending (textile) components.

Wear2® Ecostitching Technology makes possible to fully disassemble clothing into monomaterials when it reaches the end of its lifespan, and then process it at a high level, even in a circular way.

The digital platform www.wear2go.materials-exchange.com, linked to the RFID chip attached to the clothing, provides insight into the raw materials as used.

The start of textile upcycling

With Wear2® Ecostitching Technology, garments can be easily disassembled and the resulting monomaterials can be processed into high-quality raw material for new clothing.

This is a smart and already implementable solution that makes circularity a reality. Additionally, it can be easily integrated into current production processes.

Holistic solutions

Clothing sewn with Wear2® Thread can be disassembled within 70 seconds and created monomaterials are suitable for upcycling.

To successfully apply Wear2® Ecostitching Technology, garments must be produced using Wear2® Thread.

These sewing threads are made of polyester with an innovative core composition that loses its strength after a brief treatment of electromagnetic energy. As a result, different material and/or fabrics, as well as accessories, can be quickly separated into monomaterials, making upcycling possible.

The goal is circularity from yarn to yarn.

At the basis of transparency, track & trace, and monitoring

It forms the basis for transparency, among other things, with the necessary material passport, and connects with the RFID chip attached to the clothing for track & trace at selected and recognized textile processors.

It also informs and advises on disassembly and sustainable follow-up. Information from the platform is used to inform the end-user, via a QR code, about the origin, environmental impact, return advice, and sustainable follow-up of the clothing.

Efficient and selective disassembly of seams

Designed (engineered) for the disassembly of large industrial volumes of workwear and corporate clothing for high-quality processing.

This balanced technology makes it possible for seams to be selectively disassembled, after which the created monoflows are processed at a high level, preferably circularly → a closed loop from fiber to fiber.

Industrial demo separation hub for large volumes

The first demo separation hub in the Benelux is at the basis of high-quality processing of textiles and will be operational from the first half of 2023.

With a focus on convenience, cost control, and transparency, we close the circular chain while fully taking care of your needs. Inspiration for textile supply chain partners.

Textile supply chain partners, including the waste management industry, can assess this technology here for application in their own business models.