Scientific informatics

We support you with recognizing and exploiting the potential of scientific informatics for your digital products. We are your development partner, whether for completely different innovations in medicine, the production industry, the consumer sector, or any other high-tech industry. The application of basic concepts and technologies to capture, process, save, transmit and visualize data or information lies at the heart of scientific informatics. This vast field compromises both basic research topics as well as engineering disciplines. Scientific informatics is of increasing importance for applications and products in a digitized world.

Data science

We extract knowledge from datasets and apply that knowledge to solve problems across a wide range of applications. We always emphasize a holistic approach that includes understanding the data source, be it a business process or a physical sensor, and its purpose, whether to inform people or enable automated actions. Our fields of expertise include:

  • Machine learning and deep learning (supervised, unsupervised, and reinforced)
  • Rule-based algorithms
  • Statistics and data analytics
  • Data visualization

Computational modeling & simulation

We model and simulate complex systems to understand their behavior and limits. In addition to theories and experiments, computational modeling and simulation provides a third and often complementary approach to gain new insights and develop technological innovations.

  • Tolerance analysis
  • Finite element method
  • Multiphysics simulations, including electromagnetics, fluidics, and heat transfer

Intelligent sensor networks

Sensors are an important source of data acquisition. We develop sophisticated sensors and connect them to elaborate networks. These enable applications within Industry 4.0, IoT, or digital health.

  • Data-driven, end-to-end sensor concepts and design
  • Edge computing
  • Fast and energy-efficient calculation platforms: neuromorphic computing/analog computing
  • Sensor fusion

Computer vision

We develop algorithms that allow computers to extract relevant information from digital images or videos. A wide range of fields benefit from the automated ability to make sense of visual input.

  • Autonomous navigation
  • Augmented reality
  • Object detection and classification
  • Computational imaging
  • Medical diagnostic
  • Quality control
  • Scene reconstruction

Connectivity & communication

Today’s products provide additional benefits through connectivity. We use it to enable the following:

  • Standard communication protocols
  • Custom communication links, e.g., power and data transfer for extremely low resource devices
  • Cloud platforms
  • Cyber security and privacy









Reference projects



Frederic de Simoni

Schachenallee 29
5000 Aarau

Stefan Troller

Stationsstrasse 12
3097 Liebefeld-Bern

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