AtomIM
MONETISE INDUSTRIAL MACHINES
AtomIM enables industrial machines to be monitored. The value created by machine commerce will lead to the Machine Economy. Huge profits will be made by companies that leverage this opportunity. Blockchain technology and crypto-currency will enable monetary value to be attached to almost any value creating activity performed by an industrial machine. This can be done without human intervention by combining connected sensors with digital wallets and smart contracts. Even the tiniest activities performed by edge devices (referred to as a micro-service) can be allocated a value, and charged for using very small units of value that simply cannot be done with traditional payment solutions.
MX3 CS HOMEPAGE
INCREASE ROI AND MAXIMISE OPERATIONAL EFFICIENCY
AtomIM can be used by industrial machine operators to extract more value from each machine asset, and streamline the billing and payment process. Funds flow from the operator (service user) to the asset owner (service provider) at the point of service delivery.
MATERIAL MOVED
DEPTH DRILLED
VOLUME TRENCHED
MATERIAL LOADED
DISTANCE TRAVELLED
WEIGHT LIFTED
HOW DOES IT WORK?
Simply follow the three step process to start monetising your machine assets.
The FirstPlug AtomIM into an industrial machine asset and available power source.
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The SecondProvide access to data feed (telematics, sensors etc) for activity monitoring.
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The ThirdConnect it to the Internet to monitor, manage, and monetise required activity.
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AtomIM has the potential to increase profitability throughout the lifespan of industrial machine assets, and help reduce carbon emissions.
GET STARTED
You can start by signing up to our mailing list and joining our waiting list. That way you will be among the first to get notified when the AtomIM app becomes available. Before joining you will be asked to enter some details about yourself and your organisation as we need to approve each application prior to service provision.
FURTHER DETAILS
Intended Customers and Industry Verticals
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Merchant banks, captives (finance divisions owned by industrial machine OEMs), independent equipment leasing companies, private equity firms, and any organisation that leases industrial machine assets.
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Environmental, financial, sociological, and governmental regulators that require access to reliable data for the purposes of ecological impact, accounting, ethical governance, and compliance.
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The following is a theoretical example of AtomIM processing a machine-to-machine transaction between two autonomous industrial assets.
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#1 The dozer searches for dumper trucks in the area, lists terms, and awaits a response.
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#2 Dumper trucks in the area receive the task request and respond or ignore based on availability and/or contract terms.
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#4 Once mutual identification and reputation checks have been completed the machines enter into a smart contract that is recorded on the blockchain.
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#3 A dumper truck responds, negotiates terms, and accepts the task request. Identity checks are undertaken via the blockchain.
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#5 The dumper truck simultaneously starts work and micro-charging for the service according to the terms of the smart contract.
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#6 The dozer is governed by a series of pre-existing smart contracts with stakeholders (i.e. contractor, owner (bank), operator, insurer, regulator etc).
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#7 Once the task is complete the dumper truck
stops micro-billing and the service agreement is terminated. The truck is called to another job. |
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#8 To enforce trust and security going forward each machine awards a reputation score, which is shared with other machines on the blockchain.
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"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".