Virtuality

Why ?

Because being able to extract 100% of the performance of those new tools and methods requires experience and knowledge that can take years to obtain.

How ?

With 10+ years pioneering and building its leadership in virtual developments JEDAi is a process accelerator to support your fast-growing digital initiatives, with unique expertise and competencies, as well as a network of trusted partners to tackle any technical challenge.

What ?

The Virtuality step is all about mastering the relationship between the virtual and real worlds, to build the most efficient virtual development ecosystem.
Here are the various topics that are part of the Virtuality.

Modeling chain

• People, expertise, and workflow: build a team and process around it. • Simulation softwares and hardware equipment: the right budget to fulfill the goals. • Vehicle, tire, and systems models: choosing the right model and complexity.

Modeling chain

Driving simulator usage

• The new development hub: methods, place in the development process. • Drivers: Place of the test drivers in this new environment, JEDAi driver as a service.

Driving simulator usage

• The new development hub: methods, place in the development process. • Drivers: Place of the test drivers in this new environment, JEDAi driver as a service.

Driving simulator usage

• The new development hub: methods, place in the development process. • Drivers: Place of the test drivers in this new environment, JEDAi driver as a service.

The Virtual Development

• Testing loops & Virtual loops: How to combine the two worlds the smart way. • Teams empowering by giving the teams the knowledge and the methodology.

The Virtual Development

• Testing loops & Virtual loops: How to combine the two worlds the smart way. • Teams empowering by giving the teams the knowledge and the methodology.

The Virtual Development

• Testing loops & Virtual loops: How to combine the two worlds the smart way. • Teams empowering by giving the teams the knowledge and the methodology.

Digital Twin

• Testing methods: which bench, animation, data are needed? • Fitting & modeling: from the data to the model, best practices. • Correlation: how to gain confidence in your modeling and its predictions.