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Welf LabsResearch for industrial intelligence.

See what changes. Know what matters.

We connect machine signals, operating history and industrial knowledge. Your team gets the context to understand a change and decide what to do next.

A vibration sensor and blue cable on a silver motor housing

The perspective

More signals should mean more understanding.

Operators already have alarms. What they need is a connected picture of the asset and its condition. We build monitoring around the decision, so a finding can become a useful response.

An example in operation

From pump anomaly to reviewed work order.

  1. Detect

    Compare vibration and temperature with the pump’s operating regime. Separate a load change from a signal that deserves investigation.

  2. Explain the context

    Retrieve maintenance history and relevant procedures. Build an investigation package with time windows and source links.

  3. Act with authority

    The maintenance engineer accepts, rejects or escalates the finding. An approved work order goes to the existing maintenance system.

A closer look

What goes into the work.

Explore the questions that matter for your project.

Connect the event to the asset.

Know what changed

Align timestamps, asset IDs and operating modes before comparing signals. Distinguish missing data from a healthy condition.

Bring the evidence together

Link the event to work orders, inspection images and approved procedures. Keep the source available for review.

Make the next step clear

Route a supported finding to the right team. Suppress duplicates and describe uncertainty instead of flooding operators with alerts.

Build the response, not just the detector.

Our forward-deployed engineering covers data connections, event logic, evaluation, escalation and monitoring of the AI itself. Start read-only; expand authority only after the team has evidence and a reliable fallback.

Fewer blind spots. Less alert noise.

Evaluate precision, missed events, useful warning time, review effort and response time. Compare like-for-like operating conditions and include the cost of sensors, inference and supervision.

Monitoring in energy

Understand what your assets are telling you.

Tell us what you want to achieve and where you are today. We’ll work through the next step together.

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