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Answer-first industrial-AI guides, written for engineers.

The TEEPTRAK approach

Industrial AI pays where the machine data already exists.

The examples on this page share one precondition: a reliable record of what each machine did, minute by minute. TEEPTRAK builds that record without touching the PLC and turns it into loss visibility the plant can act on the same week.

Run, stop and cycle data captured automatically on every machine
Stop reasons that give models labelled history, not only raw signals
Live OEE for operators, so the people who know the machines check data quality every shift

Used in 450+ factories. At Hutchinson, OEE rose from 47% to 72%. Installed with a module wired into the electrical cabinet and a sensor at the edge of the line. No PLC changes. TEEPTRAK is not an MES: it measures, so you know what to fix first.

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What is an industrial AI platform?

A plain-language definition of industrial AI platforms, the four platform categories, what they cost to deploy in time and people,…

AI in manufacturing: 12 examples that actually produce ROI

Concrete 2026 examples of AI and machine learning in manufacturing: scrap reduction, predictive maintenance, energy optimization,…

Generative AI in manufacturing: separating the layer that works from the hype

Where generative AI genuinely helps manufacturers in 2026, and where industrial machine learning, not LLMs, does the real process…

Before you shortlist

Most failed pilots fail on data, not on the model

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