Technical Computing at Work

Computational power, industrial results

We apply advanced computational methods to solve complex industrial challenges. Our services range from 3D visualization and custom algorithm development to cloud-based machine learning infrastructure

Technical Excellence Across the Stack

3D visualization of fibers

3D Data Visualization

Analyzing large 3D datasets requires the use of advanced visualization software packages. We are experts in common 3D suites such as Volume Graphics or ParaView. We develop our own post-processing algorithms to quantify material properties or physical observables. This enables the improvement of designs and processes in development and production.

Interactive Diagrams

We want to bring data to life. We use cutting-edge data representation packages to give users an interactive experience and let them explore their data themselves. We believe that having the data at your own fingertips leads to a deeper understanding and faster solution to engineering challenges.

A simple GUI

Basic GUIs for AI & Data Science

We are aware that low-code environments are required in daily operations. With simple graphical environments, we enable non-experts to run complex machine learning algorithms with a few clicks. We bring the entire AI machinery to your business - containerized and maintainable.

Advanced Analyses

We write custom Python analyses in a matter of hours - an effective complement to industry-standard evaluation methods using spreadsheets. For high-throughput applications, we use massively parallel environments in C++. We do this in our self-maintained Linux environments.

Python code

Machine Learning

We have been using machine learning since 2016. Implementations range from chemical reaction mechanisms to physical properties of condensed matter. Our AI toolbox includes both classical shallow learning techniques and more data-hungry deep learning methods, e.g., TensorFlow or similar libraries. These techniques are ideally suited for computer vision applications, such as those used in industrial computed tomography.

Data Science

Data Science requires profound statistical knowledge and experience in analyzing large datasets. With our many years of scientific and technical experience, we can help you derive quantifiable performance metrics, quality attributes, or correlations of variables or parameters. We often start with a blank sheet and an idea, which is then translated into code.

Correlation diagram
Overview of NVIDIA GPUs

Cloud Infrastructure

We are proficient in setting up high-performance compute environments on Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). This gives access to highly scalable GPU training environments. For compute-intensive tasks, we have extensive experience in setting up high-performance compute clusters.