The sheet arrives the next day.
Production is known a day late. Shift decisions are taken blind.
AI by industry · Industry and manufacturing
The plant generates data. Nobody uses it.
Production sheets on paper, incidents in Excel and maintenance by calendar. We come in through shop-floor data capture and turn it into quality control, predictive maintenance and planning on real information.
Shop-floor data with no system.
Quality by manual sampling.
Defects caught late, rework and batches rejected by the customer.
Unplanned stoppages.
Maintenance by calendar, not by condition. The machine stops at the worst possible moment.
Four ways in.
We start with one line or one machine. We measure the return before extending it to the plant.
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01
Production data capture
We digitise the shift sheet and connect machines (OPC-UA, PLC, sensors) to a live panel.
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02
Assisted quality control
Computer vision or rules over process data to catch the defect before it leaves the station.
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03
Predictive maintenance
Alerts by the machine’s real condition, not by date. Intervention history integrated.
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04
ERP and planning integration
Orders, stock and capacity talking to each other. Planning that sees the plant as it actually is.
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Real-time shop-floor panel
OEE, stoppages and rejects by line, shift and part number.
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Explainable models
Every alert says why it fired. The maintenance lead decides.
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Deployment on your infrastructure
On-premise or cloud. The shop-floor data does not leave unless you want it to.
What we bring from what is already running.
We do not yet have a published product of our own in manufacturing, and we are not going to invent one. What we do transfer is the engineering that holds up our platforms in production: capturing data from heterogeneous sources, normalising it and turning it into auditable decisions. That is exactly what Eco-Impacto does with waste sensors on public streets — field telemetry, continuous ingestion, an operational panel and metrics a third party can verify. Swapping a bin for a production line means changing the connector and the data model, not the architecture.
Highest-impact use cases
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01
Digital production sheet
The operator records on a tablet or the PLC sends it on its own. OEE, stoppages and rejects per shift visible the same day, not in Monday’s meeting.
Typical first project: one line, 4–6 weeks.
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02
Defect detection at the station
Computer vision or rules over process variables that warn before the part moves on. The defect is corrected where it is produced, not at final inspection.
Attacks the cost of rework and rejected batches.
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03
Condition-based maintenance alerts
Vibration, consumption or temperature outside the pattern trigger a warning with the machine’s history in front of you. Maintenance decides; the model does not give orders.
Turns an unplanned stoppage into a planned one.
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04
Planning with real capacity
Orders and stock from the ERP cross-referenced with the capacity the plant has today, not the theoretical one. Delivery commitments that can be met.
Reduces missed delivery promises.
What it is built with.
Before you call us, read this.
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How to choose which processes to automate in a company (without wasting money)
Automating is not the goal: it is the tool. The expensive mistake is not automating badly, it is automating the wrong thing. This is the no-hype guide to deciding which processes to automate first, and which to leave alone.
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What auditable AI (AI without a black box) is and why your company needs it
Everyone says "we use AI". Almost nobody explains how it decides. That difference, between a black box that spits out answers and a system you can audit, is what separates a reliable tool from a legal risk with good marketing. This is what auditable AI really means.
- Construction Site, technical office and client seeing the same thing.
- Local government Public decisions on auditable data.
- Education · VET Placements, matching and agreements without the paperwork.
- Public procurement From the notice to the envelope without losing weeks.
- Logistics and distribution Orders, routes and warehouse without rework.
- Healthcare and clinics Scheduling, documentation and follow-up without friction.
- Professional services Advisory firms, practices and consultancies without the mechanical work.
Not sure where to start? Measure your organisation’s AI maturity for free in 3 minutes, or book 30 minutes of direct diagnostic.
Let's start
Let's talk about your operation.
Tell us what costs more than it should. We come back with a concrete plan, realistic timelines and a clear yes or no.
contacto@plantekia.com