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Industrial AI & Data

From data to industrial performance, on the shop floor.

Backed by aerospace and O&G expertise, we put AI to work for industry: computer vision, predictive maintenance, production optimization and supply chain. We turn your operational data into decisions, quality and machine availability — at the heart of Industry 4.0.

What we cover

Computer visionIndustrial AIPredictive maintenanceData analysisProduction optimizationSupply chainIndustry 4.0

Benefits

Higher availability

Predictive maintenance reduces unplanned downtime and extends equipment lifetime.

Automated quality

Computer vision detects defects in real time, with a consistency impossible to match manually.

Optimized production

Data analysis tunes parameters, reduces scrap and smooths the supply chain.

Use cases

01

Predictive maintenance

Failure anticipation through analysis of sensor signals and failure history.

02

Vision-based quality control

Automatic defect detection on the line, traceability and scrap reduction.

03

Supply chain optimization

Demand forecasting, planning and reduction of dormant inventory.

Sectors

AerospaceEnergy & O&GManufacturingAutomotiveFood & beverageLogistics

100%

of your risks framed

A controlled AI transition

Sequenced roadmap, AI Act & GDPR compliance by design, data under your control. You move fast without ever losing the wheel.

6-12

weeks to first gains

Measurable, lasting gains

Every use case is quantified before launch and measured after. KPIs in euros and hours — not slideware promises.

-20-40%

on targeted processes

Cost reduction

Automation of repetitive tasks, predictive maintenance, flow optimisation: costs go down where it matters, and stay down.

x2

targeted customer responsiveness

Better customer quality

Faster answers, fewer errors, personalisation at scale: your customers feel the difference — and you stand out from competitors.

Frequently asked questions

Not necessarily. We assess available data and, if needed, set up collection and quality before the model.

Yes. We deploy models on the edge, close to the machines, for latency and robustness.

With concrete indicators: availability rate, scrap rate, OEE, maintenance costs and lead times.