Give your machine a virtual brain.
Understand your machine.
Your machine generates millions of signal values every day. Copass turns them into understanding — not more curves on a screen. It captures how this specific machine really operates, detects change, and tells your team what shifted. Before the alarm. Before the downtime.
Dashboards don't think.
You have data. You have alarms. You have dashboards full of curves — and still downtime catches teams unprepared. The problem is not missing measurements. What is missing is a system that turns signals into real knowledge: machine-specific, traceable, right at the machine.
Copass
Understand your machine.
Copass is the cognitive engine for your machine — it reads machine signals in read-only mode, stores experiences, recognizes patterns, and informs your team with clear context.
Not a chatbot. Not a generic cloud model. Not another monitoring dashboard. Copass builds understanding of your machine step by step — for your team, locally on your shop floor. Every machine gets its own knowledge, because every machine is different.
Learn more about AI machine monitoring — from display to machine-specific understanding.
From signal to understanding.
Five steps. One continuous path. No black box.
01
Observe
Capture signals and states in operation — read-only, no control intervention.
02
Remember
Store situations, compare, interpret. What was normal? What was different?
03
Learn
Recognize patterns that belong to this machine — not an average.
04
Understand
Classify deviation for people: harmless, worth watching, or actionable.
05
Inform
Reach people in time — with clear, reasoned guidance.
See what your operator sees.
Instead of an opaque alarm, Copass shows context: What changed? Since when? In which operating state? Technicians arrive informed — not blind to a fault code.
Not another IoT platform.
Copass is not
- a dashboard with more curves
- a cloud monitoring portal
- a chatbot for the shop floor
- a control system intervention
- generic AI from the cloud
Copass is
- a local cognitive engine
- machine knowledge that grows with operation
- understanding over prediction
- explainable for humans
- read-only and sovereign
From the lab
Questions we don't just put on slides — we build into Copass.
When should a machine trust its own memory?
Machines can store data — that is no longer the hard part. It gets difficult where stored observations should become experience, and a learning system must decide whether that experience is still valid today.
48 signals validated — next step: 96
In internal testing, Copass successfully completed its expanded signal validation with 48 signals. The next scaling step is already prepared: 96 signals — with the same requirements for context, selectivity, and traceable structure.
Detect change before the alarm fires
Classic monitoring waits for limits. Copass captures how this machine normally runs — and surfaces change before a threshold trips.
Become a test customer.
We seek real test customers — plants with machines willing to trial Copass in real production. Not a sales pitch: test together, learn, improve.