Artificial intelligence to boost machines and processes: d.AI
AI solutions empower you to take the next step from reaction to prevention at all times in your factory. We cleverly combine digital technology and expertise in engineering, machinery and processing. To mention only a few benefits, our AI technology saves time and money by automating and optimizing routine processes and tasks, enables faster and smarter business decisions based on data analytics and helps your people to avoid mistakes and to prevent 'human error'.
Key benefits of d.AI
Success story: Primary process optimization
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Digital Twin
Software solutions
Prevent problems from happening
d.prediction is designed to help determine the condition of in-service assets in order to estimate when maintenance should be performed. Instead of scheduled checks and costly reactive responses, you can predict and address issues before they develop into problems. A perfect match and extended set of features in combination with our d.maintenance offering.
Real-time modelling and adaptation to changing parameters
Our software solution (former PROM) permanently monitors all the relevant production parameters in real time. Once data analysis detects a change in the influencing factors, d.digitaltwin uses AI-assisted prediction to adapt immediately. It calculates the optimized processing parameters for the new condition and provides them directly to the relevant equipment. This immediate action relieves operators and drastically reduces process fluctuations, ensuring optimum and consistent product quality.
Keep your machines and shop floor in optimum condition
d.OEEbooster uses big data to turn findings into preventive actions and recommendations. Our solution constantly scans the high-resolution machine data for potential anomalies. Any finding triggers a service request after automated root-cause identification. d.OEEbooster generates clear and very specific action recommendations to solve problems and keep machines and the shop floor in optimum condition. Additional knowledge sharing and learning from previous events pave the way for further automation.
The way to the green factory
d.energy enables the use of AI-driven learning for building and energy management data. This solution is designed to optimize energy requirements and usage of utilities to monitor and minimize carbon footprint, environmental impact and costs. d.energy allows you to optimize factory conditioning systems, power distribution and surges, and other production processing needs, even integrating light and weather conditions. d.energy helps to detect energy transformation inefficiencies and allows users to achieve the ideal management of utilities and plants, preventing or reducing energy waste.
Success story: fault prevention
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AI-driven performance booster
