AI machine monitoring.
Not more data. More understanding.
Machines continuously produce states, counters, messages and process values. Classic monitoring displays this data. Copass goes further: local industrial AI contextualizes machine data in operation, detects change and makes it understandable for people.
What does AI machine monitoring mean?
Classic machine monitoring shows states, curves and fixed thresholds. It is valuable — and often not enough when the goal is to understand change in context.
AI machine monitoring examines relationships and recurring patterns. Copass does not look at a single signal value alone: operating state, time course and additional signals provide context.
Each machine develops its own knowledge, because machines and production conditions differ. Copass builds this understanding step by step — without claiming to predict or prevent every failure.
From machine signal to understandable guidance
Five steps Copass runs in operation — without a black box.
01
Observe
Capture signals and states in running operation — read-only, with no control intervention.
02
Remember
Store situations and compare them with earlier observations. What was already normal in a similar context?
03
Learn
Recognize patterns that belong to this machine — not a generic average.
04
Understand
Classify change: harmless, worth watching or actionable — with context instead of an isolated alarm.
05
Inform
Reach people with clear, reasoned guidance — today via the Windows app, prospectively in the HMI or existing software.
Two layers, one operation
Classic machine monitoring
- fixed thresholds
- isolated signal values
- curves and status displays
- same logic for different machines
- reaction after alarm or fault
Copass as an understanding layer
- machine-specific learning
- signals in operating context
- recognizable change and relationships
- growing knowledge per machine
- reasoned guidance for people
Local instead of cloud
Copass processes machine data within the intended local machine or production environment — at the machine site or in the plant network.
Sensitive machine data is not sent to a generic cloud AI model. Copass accesses signals read-only and does not send control commands.
Production knowledge and data sovereignty stay with the operator. The cognitive engine learns on site — for this specific machine.
What the technology is built for
- making changes in machine behavior visible
- supporting maintenance and technical analysis with context
- better classifying quality deviations
- making process changes traceable
- offering machine builders a local cognitive engine as a possible OEM foundation
For operators and machine builders
Machine operators
- better understand their own assets
- support technical teams with context
- provide real production conditions for field tests
Machine builders
- integrate machine-specific knowledge into their own offering
- evaluate Copass as a possible OEM foundation
- develop together on real machines
Frequently asked questions
What is AI machine monitoring?
AI machine monitoring contextualizes machine data in operation, recognizes recurring patterns and makes change understandable for people. Copass goes beyond displaying signals — without replacing classic monitoring systems.
Which machine data can Copass use?
Copass connects to machine signals read-only — today via OPC UA. This includes states, counters, messages and process values relevant to the respective machine. Copass processes only the signals needed for that asset.
Is Copass a predictive maintenance solution?
Copass is not exclusively focused on predictive maintenance. Maintenance support can be one application area — the core goal is to make machine behavior, change and relationships understandable. Copass does not promise guaranteed failure prevention.
Does Copass work without the cloud?
Yes. The cognitive engine runs locally at the machine site or in the plant network. Core operation is not designed around permanent cloud dependency — production knowledge stays in your company.
Does Copass intervene in machine control?
No. Copass works read-only: it reads signals without writing and informs people. Control stays in your hands — Copass observes, never controls.
Does Copass have to learn anew for every machine?
Yes. Each machine develops its own knowledge, because machines and production conditions differ. Copass recognizes patterns that belong to this specific asset — not a generic average.
Which companies is Copass for?
For machine operators who want to better understand their assets, and for machine builders who see machine intelligence as a development task. Copass is in development — we are looking for first test customers and development partners for field tests.
How can you trial Copass as a test customer?
Via the contact page you can register as a test customer (plant) or as a builder for joint development. We seek real plants with real machines — not a finished product integration yet, but exactly in that direction.