The fashion world is renowned for creativity and innovation, with designers fusing art with functionality. But behind its glamour lies the reality — it’s one of the planet’s most polluting sectors. With 92 million tons of textile waste generated annually and fashion accounting for 10 percent of global carbon emissions, traditional manufacturing processes are not just outdated — they’re destructive. The prevalence of fossil fuel-based fabrics, combined with an intricate supply chain that stretches across continents, has driven exploitation and chemical pollution throughout the industry.
Meet Simplifyber, a North Carolina-based startup that offers a whole new approach to textile manufacturing. The company has created a cellulose-based liquid from renewable plant sources that can be molded into a versatile textile, using its novel technology. The company’s tech platform replaces 60 percent of the traditional, resource-intensive processes related to garment production with a more streamlined system that significantly reduces resource use and environmental impact. The approach cuts down both waste and energy consumption, and offers a scalable solution for sustainable fashion manufacturing.
"After 24 years in luxury fashion, working on runway collections in Europe and the US, I saw firsthand how backward the manufacturing system is: an inefficient bottleneck of spinning, weaving, cutting and sewing; coupled with outsourcing to developing countries where there is a lack of oversight and regulations — and consequently, pollution,” Simplifyber co-founder and CEO Maria Intscher-Owrang, who previously worked as a designer at fashion houses including Alexander McQueen and Vera Wang says. “I thought, ‘There has to be a better way.’”
Well Intscher-Orwang and co-founder Philip Cohen have found that better way. By reimagining the entire textile manufacturing process they are eliminating 60 percent of traditional manufacturing steps, dramatically reducing waste, energy use and the greenhouse gas emissions generated by conventional methods.
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