How quickly can initial results be obtained?

Initial results depend on the available data and the specific use case. With a consistent database, analyses can be accelerated step by step.

What data is required?

Primarily, CAE simulations, results from physical crash tests, and relevant engineering data that describe the vehicle’s behavior are required.

How is data security ensured?

You protect your data through a secure cloud environment with enterprise-grade security and defined compliance standards for handling sensitive development data.

AI-Augmented Crash Testing

Use AI-powered crash analyses to reduce physical testing, accelerate decision-making, and streamline your development processes—on STACKIT, the trusted cloud.

Talk to our automotive experts.

Digital 3D wireframe mesh overlaid on a damaged test vehicle for AI-augmented crash testing and virtual simulation.

Challenge: Complex crash data and slow decision-making

In vehicle development, the number of crash scenarios, variants, and load cases is constantly growing. At the same time, the complexity of the underlying models and simulations is increasing. Crash simulations generate large amounts of data, much of which is currently evaluated manually.

Slow evaluation

Evaluating crash simulations often takes a long time and delays decisions in the development process.

Significant analytical effort

Teams of experts manually review and compare large amounts of data, which ties up valuable resources.

Complex comparability

Adjustments to the FE mesh make it difficult to perform reliable comparisons between iterations.

High testing costs

Physical crash tests and extensive FE simulations incur high costs and prolong development cycles.

Measurable Value: Fewer Tests, Less Effort, Faster Results

Use AI-based analysis and surrogate models to streamline crash development and make more informed decisions faster. Automated analysis of large datasets enables earlier pattern recognition and more targeted control of development processes.

Up to 30% fewer physical crash tests: Reduce the number of tests using reliable AI predictions and focus physical validation on critical scenarios.
Approximately 60% less manual analysis effort: Free up specialists from manual data review and create room for strategic tasks.
Accelerated root-cause analyses: Identify deviations faster and make informed decisions based on consistent data.
Greater efficiency in crash engineering: Boost the efficiency of your development processes through automated analyses and clear prioritization.
Centralized database: Consolidate CAE, test, and engineering data for consistent analyses and improved traceability.

Solution: AI-powered crash analysis with Sphere APEX on STACKIT

Rely on a solution where Sphere APEX (AI-driven Product Excellence) provides AI models for crash analysis and STACKIT delivers the robust, scalable infrastructure. Use AI to detect anomalies in crash simulations in minutes instead of weeks and analyze relevant deviations in a targeted manner. Supplement traditional FE simulations with surrogate models that predict crash behavior more quickly and support iterative development processes.

Integrate CAE, test, and engineering data into a central database to enable consistent analyses and transparent decision-making processes. This creates a unified data foundation that improves collaboration between development, simulation, and testing. Benefit from a secure data and AI environment with high computing power, as well as enterprise-grade security and compliance that meets the requirements of modern development environments.

Competitive Advantage: Faster Decisions with Full Data Sovereignty

Empower your development teams to respond more quickly to new requirements while maintaining control over your sensitive data. AI-powered analytics and a scalable infrastructure enable you to flexibly adapt and efficiently manage development processes.

Faster decision-making processes

Accelerate evaluation and decision-making in crash development through automated analytics.

More Efficient Use of Resources

Reduce physical testing and use simulations strategically to lower effort and costs.

Targeted deployment of specialists

Support teams with AI-powered analytics and reduce manual effort.

Seamless data management

Take advantage of a secure cloud infrastructure with a high degree of data sovereignty for sensitive development data.

Scalability

Scale flexibly to meet growing requirements, data volumes, and product variety.

Foundation: STACKIT and Sphere APEX for Crash Engineering

Rely on STACKIT, the Schwarz Group’s sovereign cloud platform, featuring a secure data and AI environment as well as scalable compute and storage for the efficient processing of large volumes of data from simulations and tests. Use Sphere AI or Sphere APEX for analytics, anomaly detection, and surrogate models to perform targeted analysis of crash data. Integrate CAE, test, and engineering data into a central database for consistent analysis. Benefit from enterprise-grade security and compliance for the secure processing of sensitive development data.