AtomPay

COMMERCE SOLUTIONS FOR MACHINES

MX3 CS is a machine commerce solutions company that has developed a way to monetise any activity performed by a machine. The resulting product comprises of AtomPay (software) and Atom (hardware). AtomPower is the first version of Atom to be deployed as a proof-of-concept. It is capable of accurately measuring energy consumption, attaching a value to it, and then facilitating payment between the energy consumer and provider. Three versions of AtomPower are in the process of being deployed: Electric Vehicle Charging (AtomEV), Crypto-Mining (AtomCM), and Industrial Machines (AtomIM).

ATOM-EV | ATOM-CM | ATOM-IM

UNLIMITED POSSIBILITIES

Atom works with almost any device, so the market will ultimately decide how it will be used. The company has, however, decided to focus on three test verticals; electric vehicle charging, cryptocurrency mining, and industrial machines.

Team

"The Machine Economy is one in which machines are autonomous market participants that have their own bank accounts. In the near future, it's expected that M2M participants will be able to lease themselves out, hire their own service engineers and pay for their own servicing and replacement parts".

"A machine-to-machine (M2M) economy is one where the smart, autonomous, networked and economically independent machines act as the participants, carrying on the necessary activities with little to no human intervention. This evolving ecosystem will be made possible by the growing number of Internet of Things (IoT) devices".

"The Machine Economy will be driven by networks of smart machines that learn on their own and can produce unanticipated results. They must:  Adapt their behavior based on experience (learning), not be totally dependent on instructions from people (learn on their own), and be able to come up with unanticipated results".

"The bottom line is that AI has the potential to boost profitability an average of 38% by 2035 and lead to an economic boost of $14T across 16 industries in 12 economies by 2035". It's time to advance your business by stepping beyond automation strategies to use self-learning and self-governing machines for competitive advantage".

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