We create interfaces between all levels of virtual product development. Our engineers have a clear yet demanding mission: to create perfect-fit solutions packaged in a scalable software. With the right know-how, validated methods, and an effort that is appropriate to the level of maturity.
Do you want to quickly weigh up the options for a simulation management system and test it under real conditions? Then our SDM proof of concept offer is just right for you. We give you insights into agile process automation and modern data management.
To find out how our risk-free needs and benefits analysis can help you, take a look at our use cases. We will be happy to provide you with an initial implementation and an outlook for a comprehensive deployment.
Workflow of the POC
01. Workshop 1
Joint development of a representative CAE use case
Gathering of essential requirements
Process documentation and diagram
02. Implementation phase
Provision of SIMWORX in the cloud
Integration of provided data
Development of automation
03. Test phase (6 weeks*)
Training of key users (1/2 days)
preconfigured access for users
evaluation of system benefits
04. Workshop 2
Joint evaluation of the test phase regarding the fulfillment level of the requirements
Vision roadmap + offer preparation
* Under ideal conditions, we assume a lead time of 6 weeks. Depending on the scheduling situation of the partners, the time frame may deviate from this.
Fast Concept Modeller
From good to great: a leap in design efficiency
Do you design with CATIA? Then we have the solution for your product development of the future!
We drastically accelerate design creation and elaboration as well as design evaluation (simulation). The use of our technology enables the efficient, automated creation of geometry designs and their CAD-based optimization through simulation.
Many isolated solutions? No coherent CAE strategy? We can help.
The ability to easily connect new components and systems to your infrastructure is a strategic success factor in process and data integration. This can be achieved by providing suitable process elements.
Numerical methods, including artificial intelligence (AI), make it possible to generate findings about products using significantly less or no simulation effort at all. This approach requires structured and annotated data.