Industrial AI by sector
Industrial sectors.
Every vertical has its own
way of producing.
iLEAN is not generic. We've spent 25 years in plants across the main industrial sectors — and every one has its own pace, language and priorities. A meat processing plant is not an automotive plant. A refinery is not a bakery. The IRIS system is the same; how we deploy it isn't.
What we do in each vertical.
Automotive
Component traceability, IMDS, line andon, vision-based Poka-Yoke, real-time OEE.
See automotive → Food chainFood industry
GS1 traceability, 178/2002 compliance, second-scale product recall. Cases: Cepicafé, McDonald's.
See food → Oil & gas · refiningPetrochemical
Predictive maintenance, OT/IT integration, operational safety, regulatory records.
See petrochemical → Other verticalsOther sectors
Aerospace, chemicals, energy, retail, industrial construction. If you make things, we fit.
See others →IRIS is the same. The rollout is different in every plant.
What changes by sector isn't the architecture (Capture → AI brain → Agents → People) — it's what gets captured, which agents weigh more and how rollout is prioritized.
- In automotive, the Quality agent and the Edge layer (vision-based Poka-Yoke) come first. Component traceability through IMDS isn't optional — it's a customer deliverable.
- In food, the Suppliers agent and GS1 traceability rule. A minute-scale product recall is what separates a serious manufacturer.
- In petrochemical, the Maintenance agent ships first. An unplanned column shutdown costs what it costs — and OT/IT integration is delicate.
Every plant has its own order. The trick is knowing where to start — and only people who have done many know that.
Tell us your sector. We'll tell you where to start.
25 years in real plants — cars, food, chemicals, refining. Whatever your sector has, we've seen it.
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