Reads the fabric
Analyses high-resolution fabric images, combining dozens of regions in every reading.
Quilora eliminates destructive GSM testing, measuring fabric weight instantly, without cutting a single sample. The shared infrastructure layer the $1.7 trillion apparel industry has been waiting for.
Powered by QuiloraSI, our deep learning model →
Join the WaitlistEvery GSM reading permanently destroys fabric. Data lives in silos. The hidden cost compounds to $1.25 billion every year.
Every GSM reading requires a circular fabric sample to be cut, permanently destroying usable material. Repeated thousands of times daily, across every factory globally.
Measurement data lives in paper logs or isolated spreadsheets. Buyers, buying houses, and factories operate without a common data layer, leading to disputes and delays.
0.5% fabric loss from testing appears negligible per cut, but at global scale it compounds into $1.25 billion in annual waste, invisible to industry decision-makers.
Quilora measures GSM without cutting the fabric. Three steps, zero waste, full visibility.
The Quilora device uses optical sensing and surface characterisation to estimate GSM without physically cutting the fabric. Fabric stays intact.
Results appear in real time on the Quilora app, cross-checked against buyer requirements with pass/fail status, tolerance, and variance data.
Verified readings stored per batch, buyer, and style, accessible to manufacturers, buying houses, and buyers simultaneously through one unified platform.
Our deep learning model
Quilora's own deep learning model. It reads the fabric, predicts GSM without a single cut, and turns every reading into data the whole supply chain can trust.
Interactive 3D diagram: QuiloraSI sits at the centre like a sun. Orbiting it are fabric data (GSM, construction, roll, batch, shade, style, buyer tolerance), the production floor (knitting, dyeing, fabric store, inspection, cutting, sewing), and records and partners (GSM receipt, roll report, buyer approval, product passport data, manufacturer, buying house, brand, Quilora app).
Analyses high-resolution fabric images, combining dozens of regions in every reading.
No cutting, no weighing. Trained against cut-and-weigh, the industry reference method.
Every verified reading is saved by roll, batch and style, shared with factory, buying house and brand.
Early validation, Oct 2026: 3 unseen knit fabrics, 24 readings, 186–198 GSM, worst case 2.6%. Buyer tolerance is typically ±3–5%. Wider GSM ranges, more colours and woven fabrics come next. QuiloraSI is developed with our technical partner CCDS, Independent University, Bangladesh.
The GSM cutter has been the only tool available for decades. It hasn't fundamentally changed since its introduction. No digital-first, non-destructive alternative existed at scale. Until now.
Physical Sample DestructionEvery reading destroys a circular piece of fabric permanently, multiplied across thousands of daily tests per factory globally.
Paper-Based RecordsData is manually logged in spreadsheets, inaccessible to buyers and buying houses in real time, causing disputes and delays.
No Supply Chain TransparencyFactories, buying houses, and brands operate with zero shared visibility, leading to re-tests, shipment delays, and hidden waste.
Across every apparel factory, buyer, and supply chain on Earth. Not a measurement tool. The shared infrastructure layer that a $1.7 trillion industry has been waiting for.
Behind every scan is a deep learning model that reads the fabric's surface and turns it into a GSM reading. It keeps learning from every scan, so readings get sharper as the network grows
Be among the first factories, buying houses, and brands to access Quilora. We're launching with pilot partners in Bangladesh.
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