Machine Learning & Algorithms

Provide stronger algorithms

By combining expertise and theoretical knowledge with data and using appropriate models, we move from predictions to more informed decisions!

Potential

Better forecasts and decisions!

Using advanced, trustworthy algorithms, we automatically derive hypotheses from data from different sources and can validate these hypotheses with additional data. This makes it possible, for example, to identify frequent but previously undetected patterns in supply chains or in production processes and to provide early warning of the recurrence of such anomalies. All of this is done under the highest privacy standards.
Trend and anomaly detection

Applications are trained to recognize different conditions with existing data. This means that failures, special events and wear can be detected and predicted. In predictive maintenance, this is already a widespread process today, but we go one step further in merging data from very different sources. We can do this for companies without taking security risks because we go beyond the current state of the art in data privacy.

Contract and patent management

Semantic search technologies enable the search and extraction of facts. Contract and legal texts can thus be researched, summarized and reviewed much better. Especially in large companies with numerous contracts and patents, such evaluations, which are quickly available daily, can lead to considerable savings.

Operation and maintenance of models

Model operation and maintenance

The supply chain in view

Fluctuating qualities at suppliers cost money. To create better forecasts for production planning, we are working on the digitalization of supply chains!

Semantic search and aggregation of information

We facilitate tasks through individual summaries and analysis of specific content from texts.

Do you have questions or
interested in a special topic?

Get in Touch

Success Stories

Voestalpine Stahl Anode Replacement
  • During the production process of galvanized steel sheets, the anode condition has a high impact on quality and costs.
  • Together with Voestalpine Stahl GmbH a predictive hybrid maintenance model was developed which reduces energy costs significantly.
Magna Steyr
  • Comprehensive simulation and visualization environment for the automotive industry.
  • Software solution reduces cross-divisional supply costs and CO2 emissions.
UNYCOM
  • Procedure for automated evaluation of expected property right costs.
  • UnyCom managed to significantly increase forecast accuracy while reducing the maintenance effort for manual valuation rules.