SnapGet
New Simple Way to Find The Shoes You See and Like
Company Overview
Snapshot
Founded in April 2013 by Alex Azarh, Danny Shir, and Beni Gazala, SnapGet operates with 1–10 employees. The company is in its Pre-Funding stage. In June 2015, SnapGet was featured for its innovative approach to shoe discovery.
Business overview
SnapGet develops an e-commerce tool that simplifies product search by enabling users to find and purchase shoes based on images. Utilizing proprietary image recognition and computer vision technology, the company allows users to snap a picture of any shoe or select an article of clothing within an image, and then presents the exact item or similar selections for online or nearby store purchase. SnapGet operates within the Business Software sector, specifically focusing on e-Commerce Tools, and serves the Commerce & Retail and Consumer Goods markets, particularly in apparel.
Strategic signal
In June 2015, SnapGet was highlighted for its innovative technology that allows users to find and purchase shoes by simply taking a picture. This signals the company's early validation in leveraging computer vision for consumer-facing e-commerce, demonstrating a potential to transform how consumers discover and buy products in the fashion retail industry.
Log in to access full profile ›Company Intelligence Q&A
- What is SnapGet's core technology?
- SnapGet utilizes proprietary image recognition and computer vision technology to enable users to identify and find shoes from images for purchase.
- When was SnapGet founded and by whom?
- SnapGet was founded in April 2013 by Alex Azarh, Danny Shir, and Beni Gazala.
- What is SnapGet's primary product?
- SnapGet's primary product is ShoeFinder, which allows users to snap a picture of any shoe and find it or similar items for purchase.
- What market does SnapGet primarily target?
- SnapGet primarily targets the Commerce & Retail and Consumer Goods markets, with a specific focus on apparel.
- What was a notable public mention for SnapGet?
- In June 2015, SnapGet was featured in an article by israel21c.org, highlighting its innovative method for finding shoes through image recognition.