Development and construction of prototypes and functional demonstrators

Prototypes allow tests and measurements to be performed to validate the chosen design and minimize technical and economic risks.

We take care of their development from beginning to end, starting from requirements definition, to concept development, implementation and construction, till delivery and commissioning.

With many years of experience, we can offer a cost-oriented and pragmatic technical project management.


Complex and/or dynamic systems modeling

Complex systems can only be fully understood analytically.

The key to a cost and time efficient development lies with the proper modeling of the complete system, so that all relevant aspects are fully and accurately described.

The knowledge gained from this data and the quick evaluation of design changes allow for fast design iterations and rapid optimization of the entire system.


Development of embedded systems

At systematica the development of embedded systems is part of the core expertise.

Coupled with system modeling and simulation, it is one of the most powerful development tools.


Data Analytics,
Machine Learning applications

Data Analytics provides critical insight into the information contained in data in order to make informed decisions.

Machine Learning allows machines to learn from data and autonomously make predictions or decisions based on this data.

These tools are fundamental in today’s information-laden world, allowing businesses to stay competitive and ahead of the competition.


Using both numerical and analytical methods

Structural analyses are almost universally required in all hardware-related projects where mechanically loaded components are present.

We have the know-how required to perform accurate FEA simulations, evaluate the results and provide optimization measures.


Computational fluid dynamics,
analytical and experimental methods

Thermal processes play a role in almost any industrial activity or commercial product.

Thanks to our experience, we have the know-how required to perform accurate simulations, interpret the results and use them to identify the root causes of problems and the design weaknesses and to formulate optimization measures.