Increase efficiency, reduce costs, and improve quality with AI solutions for production, predictive maintenance, and 4.0 logistics.
We apply AI to solve the most complex challenges in industrial production.
Anticipate machinery failures by analyzing IoT sensor data. Reduce unplanned downtime and optimize maintenance cycles.
Detect production defects in real-time with greater precision than the human eye. Increase finished product quality and reduce waste.
Improve demand forecasting accuracy, optimize inventory levels, and automate logistics for a more resilient and efficient supply chain.
An engineering approach in 4 phases to digitize your production processes.
We start by analyzing your facilities, production flows, and available data (MES, ERP, SCADA) to identify the highest potential use cases.
We create a 'digital twin' of your processes to simulate, test, and validate AI solutions in a virtual environment before real implementation.
We deploy AI models directly on your systems, ensuring real-time performance, data security, and integration with OT/IT infrastructure.
We monitor key KPIs (OEE, TEEP, MTBF) and continuously train models to adapt to new conditions and maximize performance over time.
We combine AI excellence with deep knowledge of industrial processes.
We speak the language of production. We understand the challenges of OEE, lean manufacturing, and the complexities of industrial environments.
We are experts in integrating AI with factory operational systems (OT) like MES, SCADA, and PLC, bridging the gap with IT.
Every project is driven by measurable objectives: reducing operational costs, increasing productivity, and improving quality.
We design reliable, secure, and scalable AI solutions built to operate 24/7 in demanding industrial contexts.
AI generates tangible and measurable competitive advantages.
Downtime Reduction
Undetected Defects
Overall Equipment Effectiveness (OEE) Increase
