Mathematical simulations

Mathematical simulations use mathematical modelling and simulation techniques to analyse and predict the behaviour of physical, mechanical or engineering systems. This allows products and processes to be virtually tested and optimised before their physical implementation.

Brain4Industry's unique solution

In addition to a range of commercial computational software, we have our own solution for generating structures based on the interconnection of computational algorithms according to the problem at hand. Thus, each non-standard assignment is coded in a customized way and compared to commercial solutions we have precise control over the computational algorithm.

Thanks to our own solution, we can generate the structure so that it is adapted to the requirements in its entirety. Thus, it is not homogeneous and isotropic, but its properties change within the volume according to the external conditions (load).


  1. Cost reduction and time savings: Mathematical simulations allow flaws, errors and problems to be identified and eliminated in the design phase, prior to the production launch. This minimizes the cost of prototyping and testing physical samples and shortens the overall development cycle.
  2. Performance and quality optimization:
    Simulations allow a company to experiment with different parameters and conditions to identify the optimal settings. This leads to improved performance and quality of products and processes, thereby increasing the company’s competitiveness.
  3. Improving product reliability and durability: Simulations allow to predict and analyse the behaviour of products under different conditions of load, temperature, pressure and other factors. This improves product reliability and predicts product lifetime, helping to minimize the risk of failure and increase customer satisfaction.

4. Innovation and new product development:
Simulations allow a company to quickly and efficiently test and evaluate new ideas and concepts This supports innovation and new product development with a lower risk of failure.

5. Sustainability and environmental friendliness:
Mathematical simulations enable environmental impact analysis of products and processes. This allows optimisation and reduction of raw materials, energy consumption and emissions, contributing to sustainability and responsible business running.