IoT & Industrial Automation
We collect telemetry from your equipment so engineers see failure risk early and schedule repairs without emergency shutdowns.
Benefits you can expect
Readings from every workshop and site meet in one system, so managers see the state of the whole fleet. Each machine’s history shows whether to repair or replace it. You can also see where equipment wastes energy. Production plans take equipment condition into account. Reports on equipment come from the same data, with no manual collection. We design and build the data system, connect it to your existing sensors and SCADA, and support it.
What’s included
- Data from equipment and SCADA
- Failure forecasts
- Digital twins
- Plant network security
Problems we solve
We learn about wear after a breakdown
Failure risk shows up early, so repairs fall into a planned stop.
Finding a leak takes hours
The system narrows the search area and flags unusual network behaviour, so leaks are found faster.
Every mode change risks downtime
Changes are tried on a digital twin first and reach the shop floor already tested.
Dispatchers drown in hundreds of alarms
Related alarms are merged into one, so the dispatcher sees the cause straight away.
Nobody on site trusts the model’s alerts
Engineers sign off the thresholds and every model version, so alerts match the way equipment actually fails.
We dig through folders for manuals
An AI assistant finds the right procedure or past repair and drafts a work order for an engineer.
When you need it, and when you don’t
You need it
- equipment is serviced on a fixed calendar
- the plant network is cut off from the office network, yet its data is needed
- an NIS2 or IEC 62443 audit is coming up
You don’t
- downtime costs less than monitoring the equipment: scheduled maintenance is enough
- you only need current readings and threshold alarms: your existing SCADA handles that
Our approach
- 01
We place sensors for a specific failure
Sensors added just in case give you terabytes in a year and no insight. So each new sensor is tied to a failure it should warn about.
- 02
A VPN won’t protect the plant network
Through a VPN tunnel, ransomware from a hacked office account can reach the equipment. So we split the network into zones with controlled links, and remote access needs two‑factor login and logging.
- 03
AI advises, engineers decide
AI sends no commands to PLCs or SCADA: an engineer changes the settings, and safety systems run separately. If a model errs or a sensor sends bad data, advice switches off; threshold alarms and the maintenance schedule stay.
Project stages
- 4–6 weeks
Discovery
Sensors, controllers, SCADA, stored data and limits on how the equipment can run.
- 4–6 weeks
Architecture
How to collect data, which channels carry it and how to protect devices.
- 3–4 months
Pilot
One unit with a known failure history.
- 9–18 months
Scale‑out
The rest of the fleet, a model per equipment type and digital twins for the most critical systems.
- ongoing
Operations
We watch model accuracy, retrain models and regularly check network security.
Platforms & standards
AZIOT · AWS IoT Core · Azure IoT Hub · ThingsBoard
Siemens SIMATIC · Schneider EcoStruxure · ABB 800xA · Rockwell FactoryTalk · AVEVA System Platform
AVEVA PI System · InfluxDB · TimescaleDB · Azure Digital Twins · AWS IoT TwinMaker
IEC 62443 · ISA‑95 · NIST SP 800‑82 Rev. 3 · OPC UA · NIS2 · CRA
Questions
Which equipment should we start with?
The one whose failure has the biggest consequences and whose signals are accessible. For new equipment with no failure history, we use physics‑based models and diagnostic rules.
Can we do without in‑house automation engineers?
For standard equipment, yes, if someone on your side owns it and automation experts come from outside. Critical infrastructure needs its own team: responsibility for process safety cannot be handed to a contractor.
When will we know the forecasts work?
Checking forecasts in live operation takes another 6–9 months after launch. What counts as success depends on the failure types and the data available.
Further reading
Let’s talk about your equipment
Thirty minutes with an IoT architect on your historical data and what to expect from it.