Dulux Visualiser
Real-time augmented reality for seamless wall color visualization and professional color matching.
The world leader in augmented reality and virtual try-on solutions for the eyewear industry.
Fittingbox is a deep-tech company specialized in Augmented Reality (AR) and 3D digitization for the eyewear industry. By 2026, its technical architecture has evolved to leverage edge-computing for sub-50ms latency in browser-based virtual try-ons. The platform's core strength lies in its 'Diminished Reality' technology, which algorithmically removes existing glasses from a user's face in real-time to allow for seamless virtual replacement. Their proprietary database contains over 170,000 digitized 3D frame assets, making it the largest in the world. The 2026 market position of Fittingbox is centered on its 'Omnichannel VTO' ecosystem, which bridges the gap between digital storefronts and physical retail via smart mirrors and mobile SDKs. The system utilizes advanced facial landmarking (tracking over 100 points) to ensure precise frame placement, scale accuracy, and physics-based lighting reconstruction, ensuring that virtual frames react to the user's environment exactly like physical products. This technical maturity makes them the infrastructure layer for major global optical groups and luxury conglomerates.
Uses AI to erase a user's existing glasses from their live video feed, reconstructing the eyes and bridge of the nose in real-time.
Real-time augmented reality for seamless wall color visualization and professional color matching.
The world's leading augmented reality platform for creators and developers to build immersive WebAR experiences.
Real-time facial transformation and mask overlays for live video content and streaming.
The premier 3D Virtual Try-On and AI Design suite for headwear and millinery.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Algorithmically calculates the distance between pupils using a standard-sized reference object or facial depth analysis.
A high-speed 3D scanning station that captures texture, transparency, and material properties of frames.
Machine learning model that analyzes face shape, skin tone, and features to recommend specific frame geometries.
Centralized CDN for 3D assets ensuring rapid loading of frame models worldwide.
Automated export pipeline for Snapchat Lenses and Instagram AR filters.
High-definition AR interface designed for large-format touchscreens in physical retail locations.
High abandonment rates due to uncertainty of how glasses will look on the customer's face.
Registry Updated:2/7/2026
User shares screenshot for feedback
User completes purchase
Customers who already wear glasses cannot see themselves in a virtual mirror without their corrective lenses.
Customers often return frames that are too large or too small for their face.