Digital twins: software support throughout the entire product life cycle

We develop simulation solutions that allow systems and central processes to be analyzed as early as the conceptual stage. This means that requirements can be clarified and optimized early on. Using digital prototypes makes it possible to identify flaws at an early stage, minimize risks and significantly accelerate development cycles.

Services at a glance:

• Virtual prototypes: simulation of systems, components and processes (excluding hardware)
• Optimized development processes: reduced development times thanks to simulation-based tests
• Fault identification and risk minimization: analysis of safety-critical and functional aspects during the concept and development phase
• Flexible simulations: real-time, accelerated or slowed-down test runs for detailed analyses
• Customized: implementation of specific requirements using state-of-the-art tools and supporting modules

Through integrated monitoring, we make it possible to monitor products in real time. Our software solutions can be used to identify problems at an early stage and proactively take maintenance measures thanks to sensor data and dynamic operational information. This improves operational safety and optimizes your costs in the long term.

Services at a glance:

• Real-time monitoring: constant monitoring of your systems’ operational status
• Predictive maintenance using AI: predicting maintenance requirements using machine learning
• Data-driven performance optimization: real-time adjustments to improve efficiency

We transform operational and sensor data into clear, comprehensible analyses that can be used as the basis for strategic decision-making. Our solutions can help you continuously monitor and improve important performance indicators such as efficiency, operating costs and product performance.

Services at a glance:

• Detailed performance indicator analyses: monitoring and optimizing KPIs such as efficiency and operating costs
• Solid basis for decision-making: smart data analyses for strategic planning
• Continuous improvement using AI: data-based adjustments to optimize performance

Quantified reliability of virtual validation
The relevance of credible simulations is continuously increasing, as virtual validation of physical products is increasingly becoming standard practice in product development. Regulatory requirements and standards call for concrete measures in the development of simulation models and are thus becoming a mandatory element in virtual validation strategies.

Services at a glance in cooperation with Bosch Engineering GmbH:

• Development and implementation of systematic procedures for evaluating and ensuring the credibility of simulation within the framework of safe-by-design approaches.
• Safe-by-design approaches enable targeted quantification and consideration of model and parameter uncertainties, significantly reducing the actual measurement effort while increasing the predictive accuracy of virtual twins.
• The result is solid evidence of the reliability and limitations of the simulation, with clear insights into the conditions under which it can be used.