Applied mathematical design for a radical new performance level and accelerating innovation.
Mathware is the result of the creative and pragmatic application of mathematics as technology. With Mathware, Sioux supports clients in solving technological issues. We offer a very high level of competence with a low entry threshold in the unique combination of applied mathematics, mathematical physics, data science, statistics and operations research.
We improve the competitiveness of clients with competences such as modeling, simulation, imaging, algorithmics and data analysis. Our added value often involves the synergy of mathware software and hardware development.
Sioux improved the foundation of the production process by modeling the physics of the soldering process and finding out the critical parameters in the production context.
High-tech modules, systems and machines are usually compositions of mechanical, electronic and software designs. Behind all these disciplines is applied mathematics. By creating an integral mathematical design - mathware - it will also be possible to create a radically new level of performance. Sioux helps companies to realize this.
Sioux serves various sectors such as semicon, printing and imaging, transport and life sciences with applied mathematical engineering. We support small and large companies with feasibility studies, optimising design and performance, and developing algorithms and tools. For example, we help them to reduce risk, accelerate innovation, and improve products and processes.
MuTracx designed an inkjet machine that printed PCBs inside and outside. Sioux has used Mathware to break technological boundaries by developing an algorithm that inspects the deposition of ink droplets.
Sioux launched a Mathware solution for distribution centers on the market under the name of Districs. This enables companies to realize substantial savings and run more sustainably by optimally matching the shipping boxes to the orders.
By finding out in time whether pantographs on trains require maintenance, costs can be saved and safety improved. Sioux developed complex algorithms for fast image recognition and analysis, and integrated into an existing camera system that monitors driving trains.