Industrial AI.
Our own models · our own servers · large data volumes
We train AI models on large volumes of data on our own servers – in Germany, in compliance with data protection law – and develop software for medical technology, industry and IoT.
Key technologies
The fusion of AI and the Internet of Things (IoT). AI algorithms often run directly on embedded systems (embedded AI) or decentrally at the machine (edge computing) to evaluate sensor data at the equipment without delay.
Virtual, photorealistic replicas of machines or entire factories. They bring together live sensor data, robot data and environmental conditions. Where real training data for the AI is lacking, the digital twin generates synthetic simulation data.
Language models and assistance systems trained on industrial data that support factory workers, control rooms and engineers with troubleshooting or control amid the noise of the shop floor – in the control room or on the move via an app on smartphone and tablet.
Key areas of application
AI continuously analyses, for example, vibration, temperature and acoustic data from your machines and detects anomalies and impending defects before costly downtime occurs.
Image processing systems (computer vision) inspect workpieces during ongoing production and detect the finest cracks, defects or deviations in real time.
Self-learning control systems adjust parameters autonomously (e.g. in welding or milling processes) – for greater precision, more flexibility when changing products and less material waste.
Generative design using CAD and AI-supported simulations in product lifecycle management – for faster development and material savings with optimised stability.
AI forecasts energy demand and manages load peaks in your production or your grids – for lower energy costs and a smaller carbon footprint, especially in emission-intensive industries.
Challenges
Industrial data is often incomplete, unstructured or isolated in legacy systems. A common “data language” is needed: data must be prepared and harmonised.
Integrating modern AI architectures into decades-old machine fleets (retrofitting) is often highly complex. We help you with migration and transition.
The increasing networking of operational technology (OT) with IT creates new attack surfaces that must be secured to a very high standard.
We have over 30 years of experience in production and industrial manufacturing. We support you in introducing and using AI in manufacturing processes and help you optimise and reduce costs. Make use of our skills and certified expertise – not only in medical technology.