Get-Dressed

Virtual Dressing Rooms for E-commerce Fashion Stores

Business Software
Non Active, Jan 2020 ceased to operate
Pre-Funding Founded 2019
Total raised
Stage
Pre-Funding
Founded
2019
Headcount
6
HQ
Sector
Business Software

About

Get-Dressed is developing an artificial intelligence based system designed to allow online customers to virtually try on outfits.The system will be integrated within e-commerce fashion stores. The company's product uses a technology called Generative adversarial networks (GAN) which allows synthesizing realistic images. It enables virtually dressing customers while considering the personal features and size of each customer and clothing item.

Company Intelligence Q&A

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What is the primary product or service offered by Get-Dressed?
Get-Dressed is developing an artificial intelligence-based system designed to allow online customers to virtually try on outfits within e-commerce fashion stores.
What technology does Get-Dressed utilize for its virtual dressing system?
Get-Dressed uses Generative Adversarial Networks (GAN) technology to synthesize realistic images, enabling virtual dressing while considering customer features and clothing item size.
When was Get-Dressed founded?
Get-Dressed was founded in January 2019.
What is the current operational status of Get-Dressed?
Get-Dressed is currently inactive, having ceased operations in January 2020.
What is Get-Dressed's primary business model?
Get-Dressed operates on a B2B business model, targeting commerce and retail, consumer goods, and apparel sectors.
How many employees did Get-Dressed have?
Get-Dressed had an employee count in the range of 1-10, with an exact count of 6 employees.
What is the total amount of funding raised by Get-Dressed?
Get-Dressed has raised a total of $0 USD in funding.
Who are the founders of Get-Dressed?
The founders of Get-Dressed are Yarin Dolev and Itai Shvartz.

Sectors & technology

Primary sector
Business Software
Sub-sectors
Business SoftwareSales & Marketing Solutionse-Commerce Tools
Technologies
Platforms & InterfacesMobileWeb
Target customers
Commerce & RetailConsumer GoodsApparel
Business model
B2B

Tags

online-shoppingdeep-learningecommerceartificial-intelligenceimagingdeep-neural-networksshopping-experiencefashionvirtual-dressing-room