Vibrant innovation lab

High-tech machines and advanced software applications must work ever faster, smarter, more accurately, and more autonomously. This requires technological breakthroughs that make the impossible...possible. The creative and result-oriented application of advanced mathematical knowledge, techniques and tools makes all the difference.

Our data scientists, mathematicians and physicists combine exceptional scientific knowledge with a pragmatic focus on engineering and operations research. We are up to speed with the latest techniques and are able to make the step from feasibility study to a usable algorithm. We know our customers' market domains like no other. Real innovation starts with a fundamental understanding of the strategic and technological challenges that the customer faces. Enabling a new breakthrough often requires building a bridge between divergent disciplines, such as physical modelling, optimisation and machine learning.

Technology accelerator

Mathware accelerates innovation in various markets: warehousing, automotive, machine building, semicon, agro, medical technology and more. Our creative solutions are based on advanced solid building blocks. We create fundamental understanding of physical processes and generate essential information from imagery, text or measurement data from sensors. We are also experienced in developing digital twins for a fast and iterative design process that merges models and data.

We use an agile approach to move complex issues forward quickly. In this way, we accelerate the performance of our customers' advanced technology.

Mathware Solutions

Mathematical optimization is a fundamental building block for advanced machine calibration and control technology, but also for controlling complex logistic processes.
Data Science & Machine Learning
Data science and machine learning make the difference by controlling the entire life cycle: from advanced information extraction from sensor data, image or text, to automated integration of a high-performance solution in the cloud, edge or embedded device.
Image Analysis
Image analysis - interpreting camera images, CT scan data, hyperspectral data or video sequences - helps create new intelligent machines and applications.
Computational Physics
Computational physics can speed up design processes through detailed physical modelling of critical components with complex geometries and by describing essential behaviour at a system level.
Scientific Computing
Scientific computing enables the use of complex algorithms in time-critical calculation steps or on embedded devices, and can also handle the enormous data streams in AI applications in the technology of the future.

'Sioux translates the latest knowledge about deep learning into our Histolog Scanner and applications. We are revolutionizing tumour surgery.'

Etienne Schaffer,
CTO of SamanTree

Get in touch with our mathware experts