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Create Textile Digital Twins with AI

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Trusted By

Under Armour Logo
Under Armour
Makalot
Makalot
LITTLE KING
LITTLE KING
Sabrina
Sabrina
Chainlon
Chainlon
SHAHI
SHAHI
Skopos
Skopos
HTC VIVERSE
HTC VIVERSE
Taiwan Textile Research Institute
Taiwan Textile Research Institute
Niederrhein University of Applied Sciences
Niederrhein University of Applied Sciences
Herman Miller
Herman Miller
London College of Fashion
London College of Fashion
The Mills Fabrica
The Mills Fabrica

Leading-Edge Technology Designed for Experts

AI-Powered Automation

Fully automated AI physics prediction, auto tiling , single image generation, and much more.

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Best-in-class Capture Resolution

Utilizing the Canon DSLR for delivering 700 DPI/PPI high quality images.

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Professional Lighting Environment

Gold standard for uniform lighting that ensures optimal outcomes.

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Industry-Standard Compatibility

Output diverse U3M, PNG, PBR and other universal formats effortlessly, seamlessly integrating with industry software such as CLO3D, Browzwear, Blender, and more.

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Unique Scalability

Convenient cloud-based platform supports highly automated batch processing to streamline your workflow.

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All-in-One Editing Tools

One-site-does-it-all online editing tools. No more juggling between different design software.

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3 Steps to Perfection

Scan Using
NunoX Premium Scanner
And NunoX App
Import Fabric Specifications
Obtain Material Maps
And Physics Properties
From NunoX Cloud

Fabric Digitalization

"Moving to Digital Fabric Workflow is expected to save us a whopping 50% of the costs on sampling and 75% on sample shipping this year!"
- Fabric Supplier to Leading Sportswear Brands
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ESG & Sustainability

Utilize Digital Fabrics to transform your business to fulfill your corporate's ESG and Sustainability initiatives
Eliminates the need for extensive physical sampling, minimizing resource-intensive processes like dyeing and production, leading to less water, energy, and material consumption.
Allows designers to experiment with patterns, colors, and textures virtually, optimizing the design process, resulting in reduced waste from discarded or unused physical prototypes.
Facilitates better communication and coordination across the supply chain, reducing the need for excessive transportation of physical samples.
Enables accurate forecasting and planning in the production phase, allowing manufacturers produce the exact quantities needed.
Empowers designers and manufacturers to assess the environmental impact of different materials, leading to the selection of more sustainable and eco-friendly fabrics.
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