Optimize your 24/7 production, anticipate failures and reduce your energy consumption with AI and IoT.
Request a free diagnostic →Maintaining 24/7 operations without interruption, anticipating failures through predictive maintenance and optimizing energy efficiency are the major challenges facing continuous production manufacturers.
Each furnace stoppage = tens of thousands of euros lost and delayed production.
You repair after the breakdown instead of anticipating. Costs x3 compared to predictive.
Without real-time monitoring, excess consumption goes unnoticed for months.
On continuous lines, defects go unnoticed due to the lack of automated inspection.
Custom SaaS solutions and consultants embedded in your teams
IoT sensors + ML to predict failures before they occur.
Dashboard per equipment. Drift alerts. Automatic consumption optimization.
Computer vision for 100% automated inspection on your glassware lines.
Intelligent CMMS: optimal scheduling of maintenance activities based on production.
Free audit of your maintenance strategy within 48h
Request a diagnostic →Move from costly reactive maintenance to a predictive approach based on sensor data and machine learning. Detect early signs of failure and schedule your maintenance at the optimal time.
Audit of critical equipment, mapping of existing data and definition of maintenance objectives
1 to 2 weeksTechnical architecture, IoT sensor selection, pilot on critical equipment and validation
2 to 4 weeksIterative development: sensor data collection, ML predictive models, alerts and intervention planning
6 to 12 weeksProduction deployment, extension to new equipment, model improvement and ongoing support
OngoingIdentify waste, optimize your load profiles and manage your energy performance with real-time dashboards. ISO 50001 compliance included.
Measure and optimize your Overall Equipment Effectiveness in real time. Identify micro-stoppages, track throughput and quality, and compare performance across lines to achieve operational excellence.
Replace paper forms with digital rounds on tablet. Dynamic checklists, anomaly photos and automatic escalation for full traceability and increased responsiveness.
NFC badge, geolocation and round start
Tablet input, automatic calculations
Capture and annotation on the equipment
Maintenance escalation if out of tolerance
Round report generated automatically
In-depth knowledge of the continuous production and process manufacturing technology ecosystem, gained through hands-on experience.
Real-time process supervision and control
Production tracking, batch records and traceability
Preventive and predictive maintenance and intervention management
Consumption monitoring, meters and ISO 50001
PI, Wonderware — process data and analytics
RAD, dashboards, ML models and integrations
Vibration, temperature, pressure and flow
Industrial network and SCADA security
Before/after comparison on key processes of a continuous production site.
If you check 3 of these 5 warning signs, it's time to take action.
Vibration sensors (200-500€/unit), temperature sensors (50-150€) and connected clamp meters (100-300€). Battery life of 2-3 years, wireless installation.
Realistic target: 30 to 50% reduction in unplanned breakdowns within 12 months. The cost of one hour of unplanned downtime being 5 to 20 times higher than the repair, ROI is quick.
No. Our solution connects to your existing CMMS and enriches it with sensor data and predictive intelligence. No migration required.
The realistic goal for an SME is to move from reactive to condition-based preventive maintenance in 12-18 months. The AI predictive level is a 3-5 year horizon.
Free audit of your processes within 48 hours. Our experts analyze your needs and propose a tailored solution.
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