Current Projects

For more than ten years, Ubermetrics has been closely involved in the AI research landscape. In this way, we contribute to the further development of state-of-the-art applications to support science and business.

In addition to our own software development, Ubermetrics has proven competent in research projects and their continuous development. We transfer the knowledge gathered in these projects into easy to use applications for our customers in communications and marketing.

We have been closely involved in the AI research landscape since 2011 - as a participant in expert discussions with the BMWi and BMBF as well as with the Federal Chancellor, as a member of the German AI Association and, among other things, in the expert committee for the BMWi's AI innovation competition.

In addition, we participate in research projects. Our cooperation partners include:

Berliner Hochschule für Technik (BHT)
German Research Center for Artificial Intelligence (DFKI)
Deutsche Welle
Fraunhofer Fokus
Fraunhofer IAIS
Fraunhofer IDMT
Heinz Nixdorf Institute
Humboldt University Berlin
Siemens
Research Studios Austria (RSFG)
Technische Universität Berlin
University Leipzig
Westaflex

In addition to Big Data, we also contribute our competences in the field of Natural Language Understanding.

Patrick Bunk Co-Founder Ubermetrics and CIO UNICEPTA

News-Polygraph

The "news-polygraph" project is funded by the BMBF as part of the "RUBIN - Regional Entrepreneurial Alliances for Innovation" funding program. The objective of the project is to develop a technology platform that uses AI to identify targeted disinformation.

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Veritas

Veritas stands for "VERIfication through Trusted ASsociation". The project aims at supporting public opinion formation particularly in domain of health by using and analyzing news, expert and social media texts. AI based models are researched for structured information processing as well as indicators for the analysis of disinformation.

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AI4SCM

The AI4SCM project is funded by the BMBF. The objective is to develop methods for the monitoring and detection of supply chain risks.

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If you would like to learn more about our research activities, please feel free to contact us.