DATEXIS at the  Beuth University is part of the following internationally recognized initiatives: 

PLASS: Platform for Analytical Supply Chain Management Services (2019-2022)

The goal of the PLASS project is the development of a prototypical B2B platform for AI-based decision support for supply chain management. The focus is on the automatic recognition of decision-relevant information and the acquisition of structured knowledge from global and multilingual text sources. These sources provide a large database of SCM information, particularly for the early detection of critical events and risks, but also of opportunities, e.g. through new technologies, suppliers and supply chains. PLASS enables SMBs and large enterprises to continuously monitor suppliers and supply chains, and supports supply chain managers in risk assessment and decision making. One approach is the integration of knowledge graphs, another approach is through feedback channels to continually improve and adapt the AI ​​models.

Partners: DFKI Berlin, Siemens, ubermetrics, Uni Leipzig, Beuth-Hochschule. Funding within the programe "Smart Data Economy", BMWi.

Servicemeister (BMWi 2020 2022) is an artificial intelligence (AI) based cross-company service platform for the german industry. An important goal is to empower service professionals with complex AI-tools  and to strengthen the business model of machine-as-a-service, using digital guides such as AI-based ServiceBots and Smart Services. In addition, service should be scalable across companies. This creates a service ecosystem that counteracts the shortage of skilled workers in Germany and makes SMEs in the long term competitive.


  • eco Verband der Internetwirtschaft e.V.
  • USU Software AG
  • Karlsruher Service Research Institute (KSRI)
  • Beuth-HS Berlin
  • Institut für Internet-Sicherheit 
  • Institute for Web Science and Technologies (WeST)
  • Fraunhofer-Institut für Software- und Systemtechnik ISST
  • Kompetenznetzwerk Trusted Cloud e. V.
  • inovex GmbH
  • Krohne Messtechnik GmbH
  • OpenGrid Europe
  • KEB
  • Würth
  • GrandCentrix
  • Trumph
  • AtlasCopco


NOHATE: Overcoming crises in public communication about refugees, migration, foreigners (2018-2020)

More and more frequently, discussions turn to so-called Hate Speech – offensive and hateful posts by individual users – when divisive issues come up in social media or online commentary sections. Without sufficient moderation, this hate speech can quickly lead to an escalation or inhibition of discussions. Therefore, operators of such platforms are advised to identify and moderate this hateful communication. However, due to the large amounts of data and rapidity of communication, this proves elusive. Especially the discussion about the accommodation of refugees since 2015 strengthened the assumption that hate speech in social media does not only pose a threat for individuals but also for society as a whole since hateful communication can be linked to the political advancement of right-wing extremist parties, political apathy, and racist crimes.

The three-year joint project NOHATE aims to analyse hateful communication on social media platforms, in online forums and commentary sections in order to identify underlying causes and dynamics as well as develop methods and software for (early) recognition of hateful communication and potential strategies for de-escalation. A case study will offer a multidimensional perspective on displacement and migration and provide data for software development.

The partners in the joint project are Freie Universität BerlinBeuth University of Applied Sciences Berlin and VICO Research & Consulting. The project is funded by the Federal Ministry of Education and Research (BMBF) within the context of the funding initiative "Strengthening solidarity in times of crises and change".

You can find further information about the project here.