- A stablecoin, Bitcoin, Ripple’s XRP supported application is launching in the U.K. this June.
- The application bridges the gap between crypto and fiat.
A powerful Stablecoin ready hybrid payment app with inclusion for cryptocurrencies like Bitcoin (BTC), Ripple’s XRP, and some other altcoins is launching in the U.K. and Eurozone in June 2019.
The mobile application, Wamo, is designed by Wamo Enterprise, a London based mobile application company. The Wamo app is branded as the maiden hybrid money app. The app is ideal for transferring fund in fiat or crypto p2p within a region and across border.
The Wamo app also processes funds using stablecoins in an almost instant and easy manner just like the social media messaging. The money app is referred to as the most scalable, agile, responsive, and service ready application ever launched.
Security-wise, Wamo makes use of the Near Field Communication (NFC) and blockchain technology, Machine Learning and Biometric Identification/Authentication technology to perfect the “first of its kind” money app.
Once available, the application will support Bitcoin, Ethereum, Ripple’s XRP, Bitcoin Cash, Dash, TrueAUD, TrueGBP, TrueUSD.
Users of the app have no worry, as they are charged no to low fees for payment to any part of the world.
The Wamo app, like Paypal, have room for setting up recurrent transactions. It has inbuilt digital wallets, and achieves hassle free cross-border payment. Also, the app makes transactions between iOS and Andriod seamless. Wamo has collaborated with TrustToken to reduce every remittance hardship. Wamo money app solves the problem of incessant bank charges with its low to no transaction fees.
The application, once launched, will increase the adoption of cryptocurrencies across the globe since the founders have the intention of expanding the innovation to other regions of the world.
This Q2 2019, Wamo is launching its minimum viable product, followed by a full product launch in Q3 2019. The app is to be integrated to Telegram in the Q4 of 2019, and the machine learning integration to tackle security glitches and fraud are to come in the Q1 of 2020.
