Identify global risks earlier

Implisense customers will be able to benefit from the first results from the CoyPu research program ( in the near future. In this ambitious research program, we are working on early detection of global risks in worldwide supply chains together with Siemens, Infineon and DATEV.

The basis for an initial assessment of possible risks in global supply chains is provided by public data, for example from the WHO, UN and dedicated crisis monitoring services. From this, basic estimates for the probability of risks as well as the expected ability of the country to deal with a risk can be measured.

Implisense has analyzed public data and stored it in a graph database in order to be able to assess all analyzed entities, such as companies or critical infrastructures, with regard to their geopolitical risk in the future. In the future, customers will be able to have the list of their suppliers automatically checked to determine whether new risks are apparent and risk management must become active.

A particular focus is on the expected consequences of climate change and the associated crises and adjustments.

Analysis of the most affected countries due to expected climate change (WorldRisk Index data).

Intended use cases

  • Identify existing suppliers with high risks
  • Qualify new suppliers faster for risk management
  • Plan sourcing to include new risk assessments

Do you have questions about the project and use cases? We welcome messages at

International company holdings

International company holdings of Deutsche Telekom AG

As the largest economy within the European Union, the German economy is particularly linked to the world through trade relations. For the analysis of global supply chains, it is helpful to better understand the international networking of companies through participations or associated companies abroad. For this purpose, work on an automatic extraction of international company shareholdings from annual financial statements was started at the beginning of 2020.

The particular technical challenge was to recognise the international shareholdings mentioned in annual financial statements, interpret them correctly and convert them into a standardised form to support subsequent analyses.

The extraction component, which has now been successfully developed, is being transferred to productive operation at Implisense GmbH. This makes it possible to analyse new documents with information on changed shareholdings within a few seconds.

Would you like to benefit from the results of this work for your application? Then we would be pleased to receive your contact request.