IoT platforms
Devices and machines that communicate with each other.
Data and IoT: monitoring platforms and digital twins
When you have fifty machines generating data every second, you cannot afford bottlenecks.
Sensors collecting numbers nobody looks at. Machines that do not talk to each other. Data scattered across ten different places. The value is already there, but it is standing still. We make it readable and usable in real time.
From sensor to decision, without pieces lost along the way.
When do you need an IoT platform?
You need one when you have machines or sensors generating data all the time and nobody can use it: because there is too much of it, because it comes from systems that do not communicate, or because you read it too late to do anything about it. If your plants already talk to each other and you look at the data in time, you do not need us. If instead you find out about problems when it is too late, that is where we can help.
R&W Tech had 50 welding machines that did not talk to each other, each blind to the others. We connected them to a single dashboard: today R&W Tech sees them all together, weld point by weld point.
From signal to operational decision
Data collection and pipelines
From sensor to dashboard, with no leakage between one step and the next.
Real-time dashboards
Real-time monitoring: you see what is happening while it happens, not when it is too late.
Digital twins
A digital copy to understand and predict what happens in the physical world.
For IMA we turned a hunch into a technical proof that cut research and development costs by 90%. For Agrinsight we bring data from the sensors in the orchard to the agronomist, who now manages remotely what used to have to be seen in person.
When data starts to communicate
The moment data that used to be noise becomes a decision: "this machine is about to break, let us stop it now".
That is where IoT starts to save money. Collecting and showing numbers is not enough: the difference is turning them into something you can act on in time.
How we work with you
The team that designs how machines talk is the same one that writes the code on the edge and designs the dashboard you will use.
We start with one piece of your plant: we connect one line, one type of machine, one data flow, and take it from sensor to screen. When that piece works and holds real volumes, we extend it to the rest. Better data that becomes a decision today than a perfect platform in a year.
We explain every technical choice, so you always know what is running on your machines.
Who we build it for
We work with people whose plants generate data they do not exploit: production and manufacturing, agritech, connected devices and wearables, energy. For HCube, for example, we took it all the way to the human body: a patch sewn into sportswear that reads vital signs in real time.
The technology we use
Go for the high-frequency edge, up to about 10,000 samples per second, where collection speed is everything. Microservice architectures to carry growth. Modbus and OPC UA to speak the language of industrial machines. Infrastructure on AWS. Dashboards in React and Svelte, with real-time alerting.
These are choices made for the hardest part of IoT: collecting a lot of data fast without losing it, and showing it when it is needed, not afterwards. Where stability matters we go with the proven, where there is a concrete advantage we try new paths.
WORK
IoT projects we have delivered
Frequently asked questions about industrial IoT and data
Do you have machines or sensors producing data nobody uses? Tell us about it: let us see together how to make them talk and what they can tell you.
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