Matoha secures £1.5 million to enhance AI-based material scanning in textile recycling
UK-based tech startup Matoha has successfully raised £1.5 million in a recent funding round to accelerate the development of its AI-powered material identification scanners. The funding will support the firm’s mission to make textile recycling smarter, faster, and more efficient.
Matoha’s portable scanners use artificial intelligence and near-infrared (NIR) spectroscopy to identify material composition in garments and fabrics instantly. This breakthrough technology is designed to tackle one of the fashion industry’s most demanding challenges: accurately sorting complex textile blends for recycling.
With textile waste growing rapidly and less than 1% of discarded garments being recycled into new clothes, Matoha’s innovation is seen as a vital tool in pushing the fashion industry towards a circular economy.
The funding round was led by impact-driven investors and cleantech supporters. Matoha plans to use the capital to scale production, expand into global markets, and continue refining the AI algorithms that power its scanners.
The startup is already working with recyclers, sorters, fashion brands, and research institutions across Europe and beyond.
“Our technology enables high-speed, accurate fiber detection at the point of sorting. This is a game changer for textile circularity,” said a spokesperson from Matoha.
As regulators and brands push for more sustainable waste management in fashion, Matoha’s AI-driven material scanners may become an essential link in the recycling supply chain.
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