Every machine, on the record — existing PLCs and SCADA where they exist, custom-built devices where they don't — feeding straight into the platform the rest of the business already runs on.
For a services business, “AI-native” starts with software. For a manufacturer, the operating truth mostly isn't in software yet — it's in a compressor's amperage, a mould's cycle time, a supervisor's shift-end tally. Software-first transformation skips the floor and calls itself done.
We read what's already there — PLC and SCADA data, MES logs — and where the instrumentation doesn't reach, we build the custom sensor or BLE device that does, so nothing on the floor goes uncounted. That data doesn't stop at a dashboard: it plugs straight into Company Brain, the same platform running the rest of the business — which is what actually makes a manufacturer AI-native, rather than merely monitored.
Capture the floor completely, then plug it into the business that runs on it.
Pressure, amperage, temperature, cycle data — off the PLCs, SCADA and MES you already run.
Custom sensor or BLE devices for the machines and stations your existing systems don't reach.
Floor data joins the same platform running finance, ops and sales — not a standalone dashboard nobody checks.
Where this actually landed.
Machine data catches under- or over-production the moment it happens, not at shift-end.
Sensor data flags which compressors actually need a visit, cutting wasted AMC callouts.
What's happening on your floor that nothing is recording?
Walk us through the machines and the gaps. We'll tell you what's worth instrumenting first, and what's already there waiting to be read.
Don’t take our word for it. Ask an assistant with no stake in the answer.