FACTREN Insights

Industrial AI,
in practice.

Field perspectives on industrial problems, emerging technologies and what it takes to connect the two.

AI-assisted engineering

From a functional specification to machine behaviour: the equipment, engineering decisions and validation behind useful AI-generated PLC code.

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Connected engineering

The biggest industrial AI opportunity may be between the tools, not inside them.

One cylinder, several engineering disciplines. Why recreate the same knowledge in every tool, and what could a shared representation make possible?

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Quotation workflows

Tomorrow’s machine quotations start with yesterday’s projects.

What if every new machine quotation could draw on past projects, recent purchases and engineering judgment at the right moments?

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Technology adoption

Industrial AI: from a convincing demo to daily use.

How to turn a promising demonstration into a useful trial, with real users, representative tasks and evidence that informs the next decision.

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Engineering perspective

AI-generated PLC code is only part of a working machine.

What AI builders and industrial teams need to understand between generating a program and commissioning an automated system.

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The industrial question comes first.

Our focus is the work behind custom-built machines, robotic cells and assembly lines. We explore where AI could help, what industrial teams need and which questions technology builders should be asking.

When we cover a technology, we distinguish the developer's claims, available evidence and our own analysis. Hands-on tests and relevant commercial relationships will be identified explicitly.