Industrial AI
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Usability, speed, quality - AI can help with all of the corners of the OEE (Overall Equipment Effectiveness) triangle. We implement production grade AI solutions that modernize processes, save human time and anticipate the future. Depending on the requirement, we can build everything from the data platform up or implement just the AI solution. Our core expertise lies in understanding customer needs and applying AI effectively.
Predictive AI
AI detects disruptions, maintenance needs, and demand fluctuations before they escalate into problems. We predict production disturbances and optimize resource utilization. We support employees with transparent data while automating customer segmentation, sales targeting, and customer churn in the background. The best insights are those you receive before they impact your business.
Computer Vision
Pattern recognition and image classification enable quality control, while automated image-based reporting enhances efficiency, and access control analysis improves security without manual supervision. Computer vision brings accuracy and efficiency to processes where human slowness and susceptibility to errors create bottlenecks.
Improving Processes
AI can, for example, optimize resource allocation, schedule maintenance, and handle hazardous situations. In more complex cases, its use goes a step further—toward entire processes: we automate root cause analysis, shift reporting, and customer service.
What can AI do in the Industrial Sector?
Enhancing operational efficiency
Automating of manual tasks
Image, text, and video data analysis can be automated with computer vision—essential information is found faster and more accurately. Error diagnostics, reports, and customer service tickets can be automated, freeing up more time for experts.
More environmentally friendly processes
Smarter customer insights and sales
Natural language processing extracts new insights from customer needs across different channels, enabling decision-making based on real-time customer understanding. These insights can also be turned into interaction: chatbots can become more conversational and capable, enhancing customer experience and accelerating service. Sales shift from a product-driven approach to a data-driven model, delivering the right solution to the right customer at the right time.
Predictive maintenance with AI
Sensors analyze event and image streams, identifying maintenance needs before failures occur. Smart data minimizes unexpected downtime, optimizes resources, and extends equipment lifespan. Existing sensor data can be enhanced with software sensors (soft sensors), further expanding data-driven decision-making capabilities.