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In DevelopmentOwned VentureConsumer
Esihle
AI wardrobe and personal styling intelligence platform.
Overview
Esihle is designed to understand a person's wardrobe as a living system rather than a photo album. The direction is a styling intelligence that learns preference, context and behaviour over time, and eventually operates as a concierge across purchasing and wardrobe decisions.
The problem
Styling tools tend to stop at outfit suggestions. They do not learn the individual, hold the state of a wardrobe, or support the decisions that actually surround dressing and buying.
The opportunity
A system that models personal style precisely enough becomes useful across wardrobe management, event dressing and purchase decisions.
The product
- Personal style modelling
- Clothing, footwear and accessory preferences
- Brand and purchase behaviour learning
- Wardrobe health and utilisation
- Event dressing patterns
- AI concierge direction for purchase and store interaction
Technology
- Preference modelling
- Computer vision for garment understanding
- Recommendation systems
- Conversational AI interfaces
AI role
AI is the product. Esihle's value depends on how accurately it learns an individual rather than a demographic.
Market & users
Consumers, and over time the retailers and brands they buy from.
Current stage
In development.Industries: Consumer AI, Fashion & Retail, Personal Intelligence