Find the hidden losses in your production.
Higher utilisation, fewer stops and costings built on real machine data. Live in weeks, not years.
Industry 4.0 gave us data in abundance. The applications that create value got lost.
Plants log thousands of signals a second. Almost none of it reaches the people who decide.
From machine signal to decision.
Connect any machine, see production reality and act on it, without replacing anything you already run.
Machines & sensors
Any make or age, connected at machine resolution: CNC, robots, presses, ovens.
Connect
Stream in real time via edge device or API. Buffer locally, sync on reconnect.
INDU.Cloud
Full-resolution time series with AI-ready analytics. Planned vs. actual, continuously.
Outcomes
Ready-made apps for the teams that act on the data, from operators to finance.
Four ways to find money in your machine data.
A process that learns from every part.
Correlate measured quality with every process parameter. Catch deviations live, refine the process over time and feed the outcome back to planning.
Read the use caseKnow what every part really costs.
Per-part cost from actual cycle times, stops and yield, fed straight back into the next quote.
Read the use caseSee exactly where production time goes.
Go behind the OEE number: real cycle times, microstops and variation between shifts, operators and tools.
Read the use caseFix it before it fails.
Trend wear signals, predict when a component hits its limit and plan service before the unplanned stop.
Read the use caseSee it on a running machine.
Our demo cell streams die temperature, melt temperature, shot speed and pump vibration into Inducloud, second by second. In the demo, you run the machine. In your plant, it works the same way on any machine: CNC, presses, robots, lines.
Proven in production. Ready for your shop floor.
Approved after a full IT security review at a tier-1 automotive supplier.One data foundation. Every application on top.
Real-time ingestion
PLC, OPC UA, MES, SCADA and sensors, at machine resolution.
Edge-native
Processes at the edge, buffers locally and syncs when the network returns.
Full resolution
Every sample stored and queryable. Nothing averaged away.
Cloud or on-premise
Runs where your data needs to live. Vendor-neutral, fits your IT and OT.
Open APIs
REST, WebSocket and streaming. Your data, on your terms.
AI-ready from day one
Clean, structured history to train and run models. You own data and models.
Start with 1–2 machines.
The heavy lifting.
- Connection
- Data collection
- Analysis
- Implementation
- Follow-up
Very little.
- 1–2 machines
- One contact person
- Process knowledge
Four questions the pilot answers.
Where does production time disappear?
Which jobs are actually most profitable?
Which tools cause disruptions?
How much variation comes from the operator?
The goal isn't to collect data. It's to find money.
We find nothing?
Then you know, in black and white, that you already run optimally.
We find 5–10 %?
Then you have a proven case, and the data to scale it.
Start with one machine. See measurable value in weeks.
Then we scale on proof, not promises.