In an interview with Dynamic Business, Sean Fagan explains how Neuono captures precise body measurements from phone, addressing fit issues and overproduction
What’s happening: Australian luxury fashion house THDR Group has launched Neuono, an AI-powered app that creates made-to-measure clothing using smartphone-based 3D body scanning.
Why this matters: The made-to-order model aims to tackle poor fit and overproduction waste in the fashion industry. The app represents a growing shift towards technology-driven personalised fashion that eliminates traditional retail and tailoring processes.
Australian fashion technology company THDR Group has launched Neuono, a smartphone app that uses AI and 3D body scanning to produce made-to-measure garments without requiring customers to visit stores or attend fittings.
Dynamic Business sat down with Sean Fagan, Co-Founder and Technology Lead at THDR Group, to discuss how the platform merges fashion with technology, following the 2021 launch of their luxury menswear label THEODORE and its AI sizing app, PocketTailor.
Multiple AI systems
The technology behind Neuono integrates several AI platforms with proprietary systems developed by THDR Group. In our interview, Fagan explained the technical foundation underpinning the app’s capabilities.
“Neuono is powered by technology we’ve developed at THDR Group, and its AI sizing app, PocketTailor,” Fagan says. “It brings together leading AI models from OpenAI and Google with our own proprietary technology, including 3D body mapping and our generative AI engine, SenseThread.”
The process begins when users complete a body scan using their smartphone. The app analyses multiple data sources to generate personalised garment recommendations.
“When a user completes their scan, the app builds a 3D digital model of their body and then analyses their style preferences, local climate, and demographic information based on what the user feeds into their account, to suggest designs that genuinely make sense for them,” Fagan explains. “The AI looks at everything from global fashion trends from the internet, to individual taste seen within the user’s social media profiles and followers, to produce a made-to-measure garment, complete with AI-generated visuals of the user and detailed descriptions.”
The resulting output aims to match clothing to individual circumstances beyond just physical measurements.
“The result is clothing that fits not just your measurements, but your lifestyle and personality too,” Fagan says.
Millimetre-accurate measurements
A key technical challenge for any smartphone-based body scanning system is achieving measurement accuracy comparable to traditional tailoring methods. Professional tailors typically take detailed manual measurements, a process that requires training and physical presence. When we asked Fagan about accuracy, he claimed their technology can replicate this precision digitally.
“The 3D body mapping captures over a hundred precise data points from just a few smartphone photos, accurate within millimetres of what a professional tailor would take in person,” Fagan says. “It’s that same level of precision, but now available to anyone, anywhere, without fittings or store visits.”
Once users finalise their design within the app, the garment enters production as a made-to-order item, with direct shipping to the customer. Fagan describes this as modernising traditional tailoring practices rather than replacing them entirely.
“Once your design is finalised, the garment is made-to-order and shipped directly to your door,” he says. “With Neuono, we wanted to bring the craftsmanship of traditional tailoring that is seen within THEODORE, into the modern age, making it faster, easier, and more accessible, while still delivering a luxury-level fit.”
Limitless creative possibilities
Beyond accurate sizing, Neuono offers extensive customisation options. Users input their desired garment type, and the system generates designs incorporating personal style preferences, body measurements, and environmental factors.
“It’s a completely personal experience,” Fagan tells us. “After the scan, users can enter what they want, say, a relaxed linen blazer or a sharp dinner jacket, and the AI generates a one-of-a-kind design based on their preferences, measurements, and even their local weather.”
The app provides visual feedback before any physical production occurs. Users can see AI-generated images of themselves wearing the proposed garment and make real-time adjustments to the design.
“The app then shows an AI image of the user wearing the garment, so they can tweak things like the cut, fabric, or colour in real time,” Fagan explains. “Behind the scenes, Neuono can pull from over 70 billion combinations of fabrics, linings, threads, and buttons, so the creative possibilities are almost limitless.”
The scale of possible combinations far exceeds what traditional retail or even bespoke tailoring operations typically offer. Fagan positions this technological capability as addressing fundamental problems within the fashion industry.
“We’ve built Neuono to solve two of fashion’s biggest challenges, poor fit and overproduction,” he says. “By designing everything to order and to fit, we reduce waste and completely reshape the customer experience.”
The made-to-order model eliminates the need to produce inventory speculatively, potentially reducing waste associated with unsold stock. It also aims to resolve the fit issues that occur when customers purchase standard-sized ready-to-wear garments.
“Through this technology, the fashion possibilities become limitless,” Fagan says. “For a single jacket, Neuono can pull from over 70 billion combinations of fabrics, linings, threads, and buttons. That level of personalisation just hasn’t existed in ready-to-wear fashion until now.”
Diverse early adopters
Since launching across three countries, Neuono has attracted users with varying motivations for trying AI-generated custom clothing. The app is currently available via the App Store and Google Play in Australia, the UK, and the US.
When we asked about adoption rates, Fagan shared early metrics from the platform’s launch.
“We’ve seen over 10,000 downloads across Australia, the UK, and the US so far, with a really diverse mix of users,” Fagan reports. “There are early adopters who love experimenting with AI design, and others who simply want perfectly fitting clothes without the hassle of shopping or tailoring.”
Early demographic patterns show a concentration among younger users, with more female than male users, though geographic distribution has been more evenly spread across the available markets.
“The demographic mix for now has been majority 18 to 25 year olds, more females than male, but geography-wise it has been a real mix of across the world,” Fagan says.
Custom garments average $400 AUD, with final pricing dependent on the specific fabric and design choices users make within the app. The price point positions Neuono between mass-market ready-to-wear fashion and traditional high-end bespoke tailoring services.
Fagan frames the technology as streamlining access to custom clothing that was previously more time-consuming and expensive to obtain.
“Neuono streamlines the entire process of creating custom clothing, making it easier, faster, and more accessible,” he says. “We’ve always believed there had to be a better way to bring made-to-measure into the modern age. So we built one, intuitive enough for anyone to use, powerful enough to deliver high-end results.”
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