Our Technology
Neural Network Architecture
Our ScentAI™ utilizes a sophisticated deep learning architecture combining convolutional and recurrent neural networks. This hybrid approach allows us to process both molecular structures and temporal fragrance evolution patterns simultaneously.
Multi-Dimensional Analysis
The system analyzes over 500,000 data points per fragrance, including molecular composition, sillage patterns, longevity curves, and emotional response data. Our proprietary algorithms map these dimensions into a high-dimensional space for precise matching.
Adaptive Learning
ScentAI™ employs reinforcement learning techniques to continuously refine its recommendations based on user feedback. This creates a personalized scent profile that evolves with your preferences and adapts to seasonal changes.
Neural Network Processing
Analyzing fragrance patterns...