With our Data Science Team we develop specific AI (Artificial Intelligence) applications. We use modern machine learning algorithms such as Deep Learning or SVM (Support Vector Machine). Simple algorithms such as Regression Analysis or Decision Forest often lead to the goal. We use methods such as Reinforced Learning and Transfer Learning and can thus achieve high accuracies with even small amounts of data. We have been able to build on our in-depth know-how in the following applications:

  • Image Recognition for defect analysis. Can be used for a wide variety of damage cases.
  • Target Location Analytics. We analyse user behaviour at specific locations such as shops, stadiums, shopping centres, roads, hiking trails, etc.
  • Customer analysis for marketing and sales with machine learning.
  • Product and process optimization based on data.

We extract the valuable data from whether large (Big Data) or small (Smart Data) Data content and generate important information. We transform this information into immediate benefits for your company through targeted data collection and precise data analysis:

Benefits of data science and big data

What are the valuable data of your company? We have the expertise and the tools to identify and analyze this data. This provides you full transparency – a key prerequisite for entrepreneurial decisions.

We use data science to evaluate your data along the entire value chain by using our competencies in understanding processes, data modeling and algorithmic analysis.

Our aim is to translate your needs and business requirements optimally into technical solutions. This is crucial for the project success and, therefore, we at first want to precisely understand you. A combination of business understanding and profound technical know-how – which is the hallmark of all our employees – is indispensable.

Our following use cases highlight how evaluation of large data sets can help you:

Evaluation of Facebook data (PDF download)
Fraud Management (PDF download)
Data Driven Development (PDF download)

Big Data does not always have to mean “Big Complication”. We start with manageable, delimited data areas. Using this data, we gradually and collectively develop a functioning and comprehensive system.

SMEs tend to be somewhat different from big companies: they need to be faster, more agile and they need to find niches in the market. At the same time, they should always be able to adapt quickly and flexibly to new environments.

We align AI (Artificial Intelligence), Big Data and Smart Data solutions specifically for SMEs. We always focus on a modular design with low start-up costs. This allows the analytic solution to grow with the company.

In addition, we start in such a way that a measurable benefit is quickly available. Agility and data security are the key features of all our solutions.

Examples of successful Data Science systems can be found in our use cases:

Target Location Analysis(PDF download)
Customer Loyalty (PDF download)


Time is money – so don’t bury it in IT and software installations: benefit from our pre-installed work environment. Another major advantage: you do not have any investment costs.

We deliver simple Big Data solutions – either in our Swiss private cloud or on your own infrastructure. Both structured and unstructured data can be embedded by storing in simple Object Storage. This allows real-time streaming and advanced In-Memory technology from Apache Spark. We can also connect other NoSQL databases.

With our integrated tools for data transformation, visualization and modeling, we deliver fast and agile implementations.

We do not sideline security: It is the most important component of respective security levels.

For more information on Software-as-a-Service, please refer to our Use Cases:
Logistics Optimization (PDF download)