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Digital transformation to bring trust to the jewelry market. We want to disrupt the current paradigm and the entire jewelry market. Your jewelry will not be a simple piece of gold but a business card, key/access card, payment card etc.
Things around us became smart. But there was not much innovation in jewelry during the last thousands of years. We create a technology that links unique cryptographically secured digital assets to a particular jewelry item. We believe that we may help to protect jewelry designers and brand owners from fakes and replicas which undermine trust in their work. We give trust to the secondary jewelry market. One tap with your smartphone is all it takes to verify the authenticity of a product. Anyone can now check if a jewelry item is original. No additional knowledge is needed.
We are going to start the digital transformation to bring trust to the jewelry market. 
 

 

 

Why is it unique or revolutionary?

 

The Smart Jewelry Lab (SJL) mobile app allows anyone to check if a product is genuine. Scan it with an NFC enabled smartphone and you’ll get information (immutably stored in the blockchain) about the jewelry item’s whole life circle from its birthday.

We drastically improve efficiency in the secondary jewelry market as used item discounts become much closer to other retail markets because of the provenance and trust provided by SJL.

We will be selling our service to jewelry brands, secondary jewelry market transaction payments, targeted ads in the app, data sale.

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What problem we are solve?

The jewelry market suffers from fakes and replicas. The secondary jewelry market is untrusted. We use jewelry as a decoration only without any other functionality.

Future

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We presented our product vision to jewelry companies and received positive feedback. We also got some letters of intent from companies ready to start cooperation once the product is ready for deployment.

As this is a niche B2B product, we cannot use general metrics to test demand. We need to deploy a product to the market and then see dynamics.