Sectors · Manufacturing
Artificial intelligence for the factory, with data that stays in the factory.
Predictive maintenance, quality control with computer vision and supply-chain optimisation, integrated with MES, SCADA and ERP and processed on-premise.
Line 2 · sample
- Abnormal vibration on spindle 4
- Suggested intervention: Friday
- Downtime avoided: 6 hours estimated
Solutions
Three applications with measurable impact.
Predictive maintenance
Analyses sensor data to anticipate failures, reduce unplanned downtime and optimise maintenance cycles.
Quality control with computer vision
Detects defects in line, in real time, with a consistency the human eye cannot guarantee over a whole shift.
Supply-chain optimisation
Demand forecasting, optimised stock and automated logistics for a more resilient supply chain.
The method
An engineering approach in four phases.
01
Plant and data analysis
Plants, production flows and available data (MES, ERP, SCADA) to identify the highest-potential use cases.
02
Simulation
A digital twin of the processes to test solutions in a virtual environment before real implementation.
03
On-premise integration
AI models installed on your systems, with real-time performance and OT/IT integration.
04
Continuous monitoring
Factory KPIs (OEE, MTBF) under control and models continuously trained on new conditions.
Why PugliAI
We speak the language of production.
Process expertise
OEE, lean manufacturing and the constraints of industrial environments: we start from the process, not the technology.
OT/IT integration
We connect AI to MES, SCADA and PLCs without interrupting production.
Measurable goals
Every project is driven by agreed KPIs: costs, productivity, quality.
Robust solutions
Designed to run around the clock in demanding industrial settings, with data staying in the factory.
Frequently asked questions
How can AI help a manufacturing company?
By anticipating failures with predictive maintenance, detecting defects in line with computer vision, optimising stock and supply chain and connecting factory data to decisions. Results are measured on KPIs agreed before the start.
What is predictive maintenance?
The use of sensors and machine-learning models to analyse machine operation in real time and predict failures before they occur, replacing fixed-interval interventions with targeted ones.
How much does implementing AI in manufacturing cost?
It depends on complexity. We recommend starting with a pilot on a single high-impact use case, with a contained investment and measurable results in 8 weeks; typical projects for SMEs start at €25,000, VAT excluded.
Does AI integrate with existing MES and SCADA?
Yes. Solutions are designed to integrate with MES, SCADA, PLCs and ERP non-invasively, with models installed on-premise or at the network edge for real-time performance and data security.
Let’s talk about your business.
45 minutes with a PugliAI consultant: process review, priority opportunities and a written report with an ROI estimate. Free and without obligation.