Artificial Intelligence for Product Authentication
Entrupy was brought to life by a team with 8 Degrees (including 2 Ph.Ds), decades of work experience, 4 patents and thousands of hours of research and testing. Our goal is to fight counterfeiting by protecting consumers and businesses from transacting in fakes. We were named as the 'Startup to watch...' by Forbes Magazine in 2013.
We have built complex material detection techniques into Entrupy, detecting most materials ranging from canvas, leather, fabric, wood, paper, metal among and many others.
- A database of over 4,000,000 reference samples ensures that every bag you authenticate is covered
- Authentication accuracy of over 99% and is steadily increasing with each new bag
How it works
- Place the device on the bag in question, take a few images from your smartphone or tablet and know the result in 15 seconds
- While you attend to your customer, we match the data from the bag against our massive database and give you a result immediately
- You can use the device to do multiple authentications on the same bag if you are unsure, at no extra cost!
- Build unshakeable trust with your customers and grow your business
- Simply buy the hardware and install the app on your phone. Now any of your employees can be an expert at authentication!
- Use the service in your store, allowing you to instantly make purchasing decisions
- Generate and share certificates that help you prove it!
About the Company
Entrupy is the only company using artificial intelligence to instantly authenticate luxury handbags and accessories. Our mission is to become the Verisign of physical goods to attack the $1.7 trillion sales of counterfeit goods globally. Our authentication process is based on microscopic material detection and advanced image recognition. Our solution is currently available to marketplaces and businesses that sell pre-owned handbags and accessories. A unique certificate is instantly created for every authentic item that can be shared and independently verified.
Not CART Registered:
Solution has yet to be registered and verified. Learn More