Predict equipment breakdowns, optimize production processes and improve quality control with industrial AI.
Companies in the Industry & Manufacturing industry face recurring challenges. Here's how AI turns them into competitive advantages.
Unplanned machine stoppages cost an average of $260,000 per hour in industry. AI predicts failures 2 to 4 weeks before they occur.
Visual defect detection is slow, subjective and prone to human error. Computer vision detects anomalies in real time at 99.9% accuracy.
Unanticipated supplier delays, overstocks and shortages: AI optimizes your supply chain by predicting demand and supplier risks.
Our solutions are modular and adapt to your business, regulatory and technical constraints.
OCR, détection d'objets et analyse vidéo intelligente
Transformez vos données en insights actionnables avec l'IA
Automatisez vos processus métiers avec l'IA et gagnez en productivité
Déployez des agents intelligents qui travaillent 24/7 pour votre entreprise
Fine-tuning de modèles IA personnalisés entraînés sur vos données
A structured 4-step approach to ensure successful integration in your business context.
Connection to your IoT sensors, PLCs and MES to collect production data and identify patterns preceding failures.
AI models trained on your historical data to predict failures with over 85% accuracy.
Smart cameras on your production lines for real-time defect detection and dimensional control.
Unified dashboard to visualize production status, predictive alerts and quality KPIs in real time.
Industrial artificial intelligence transforms factories into intelligent, connected environments. From predictive maintenance that anticipates breakdowns to computer vision that controls quality in real time, industrial AI reduces costs, improves quality and accelerates production.
AI-powered predictive maintenance continuously analyzes data from IoT sensors installed on your machines (vibrations, temperature, current, acoustic pressure) to detect weak signals that precede failures. Machine learning algorithms identify abnormal patterns 2 to 4 weeks before breakdown, allowing maintenance to be scheduled during maintenance windows without interrupting production. Industrial companies using AI predictive maintenance reduce maintenance costs by 25 to 35%, decrease unplanned downtime by 70% and extend equipment lifespan by 20%. Return on investment is typically achieved within 4 to 8 months.
Industrial computer vision replaces human visual inspection with high-resolution cameras coupled with deep learning algorithms. The system inspects every part on the production line at 10 times human speed with 99.2 to 99.8% accuracy. Detected defects (scratches, cracks, deformations, color defects, assembly errors) are automatically classified and non-conforming parts ejected. The system continuously learns from new defect types to improve detection. Scrap and customer returns decrease by 40 to 60% and warranty costs are reduced proportionally.
Industrial AI optimizes your entire supply chain by predicting customer demand, anticipating supplier risks and calculating optimal stock levels. Algorithms analyze historical sales data, seasonal trends, macroeconomic indicators and weak signals (supplier news, geopolitical conditions) to dynamically adjust procurement orders. Stockouts are reduced by 50 to 70% and overstocks by 20 to 30%, freeing up tied-up cash. Production planning integrates these forecasts to optimize the utilization of machine and human resources.
Yes, as long as the machine generates data (vibrations, temperature, current, pressure). We adapt our models to each type of industrial equipment.
4 to 12 weeks depending on your equipment complexity and historical data quality. We start with a pilot on 1 to 3 critical machines.
No. We connect to your existing machines via low-cost additional sensors (vibration, temperature) or by retrieving data from your SCADA/MES.
Our AI vision systems achieve 99.2 to 99.8% accuracy for defect detection, compared to 85 to 92% for human inspection, with 10x higher throughput.
Yes, optimization algorithms generate optimal production plans considering machine constraints, raw materials, deadlines and human resources.
Yes. Our solutions include full traceability of quality controls, corrective actions and indicators required by ISO standards. Audit reports are generated automatically, facilitating certifications and renewals.
A predictive maintenance pilot on 1 to 3 machines starts from a few thousand euros. ROI is typically achieved within 3 to 6 months through reduced unplanned downtime. We offer a progressive model: pilot, validation, factory-wide deployment.
Yes. AI analyzes consumption data machine by machine, identifies waste and recommends scheduling or parameter adjustments. Our clients see a 10 to 20% reduction in industrial energy bills.
AI ensures complete traceability of each batch: raw materials used, machine parameters, quality control results, environmental conditions. In case of product recall, origin tracking is instant instead of taking several days.
A free 30-minute audit to identify your automation and productivity opportunities.