The efficient implementation of research projects and the accompanying derivation of products and projects that will change the future, is the task of our research and development department.

Research and development

We focus on industry-oriented research and develop innovative IT products.

Research, development and innovation form the basis for Germany's prosperity and competitiveness

As a modern IT company, we have been driving forward digitization in Germany with our partners and customers for more than 20 years. Our focus is on the technologies of the future that will enable the German economy to remain at the forefront of the technological nations in the long term.

Artificial Intelligence, Augmented Reality, IoT and Big Data are politically and economically relevant and therefore our current R&D focus.

In order to be always up-to-date in our focus areas and to advance them constructively, we cooperate with various research and development partners and participate continuously in (inter)national research projects.


Our partners include various industrial companies for operational implementation as well as the universities and colleges in Osnabrück. In addition, we cooperate with renowned institutes and associations, such as the German Research Institute for Artificial Intelligence (DFKI) or the Lower Saxony Innovation Association SmartHybrid.

Logo des DFKI

German Research Center for Artificial Intelligence

DFKI was founded in 1988 as a non-profit public-private partnership (PPP). It maintains locations in Kaiserslautern, Saarbrücken, Bremen, a project office in Berlin, a laboratory in Lower Saxony and branch offices in St. Wendel and Trier. DFKI is Germany's leading business-oriented research institution in the field of innovative software technologies based on artificial intelligence methods.

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Logo der SmartHybrid


As a practice partner of the "SmartHybrid" innovation network, we support medium-sized companies in digital transformation - scientifically neutral and based on the latest IT trends. Digital technologies such as the Internet of Things or Virtual & Augmented Reality are of central importance for research. Their integration into business processes allows new digital services to be developed for many types of products.

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Logo der Universität Osnabrück

University of Osnabrück

Thanks to the successful cooperation with the University of Osnabrück, numerous students have successfully completed their studies with a practical phase and subsequent practical thesis at our LMIS AG, thus making the leap into professional life without any problems.

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Logo der Hochschule Osnabrück

University of Osnabrück

In addition to a cooperation of the university, there has been a cooperation with the universities of the region for years. Numerous research projects and events, such as the GDCR, complete our cooperation.

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Shaping the digital future.

This is our claim, with which we pursue the goal of efficiently implementing research projects in order to derive IT products and projects that will change our future sustainably. This is the self-image of all LMIS colleagues and the greater task of our research and development department. This department consists not only of our experts who hold doctorates and contribute to the German research landscape through their regular publications.

In addition to our colleagues, who are passionate about their focus topics, we also always employ students who either support us during their studies or enrich our know-how with their theses. After their graduation, we transfer our students to the specialist departments and thus always integrate the latest findings into our knowledge pool.
What makes us unique is our passion for cutting edge technologies and up-to-date knowledge. From our students to our CEO & Founder, who did his PhD in the context of AI and continues to research.


1Augmented Reality (AR)
Barenkamp, M., Niemöller, D., "ARchitecture — Insights From Theory and Practice," 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Istanbul, Turkey, 2020, pp. 1-6

Metzger, D.; Niemöller, C.; Berkemeier, L.; Brenning, L.; Thomas, O. (2016): Vom Techniker zum Modellierer – Konzeption und Entwicklung eines Smart Glasses Systems zur Laufzeitmodellierung von Dienstleistungsprozessen. In: Thomas, O.; Nüttgens, M.; Fellmann, M. (Hrsg.): Smart Service Engineering (Proceedings of Dienstleistungsmodellierung). Wiesbaden, Springer Gabler, 193–213.

Niemöller, C.; Zobel, B.; Berkemeier, L.; Metzger, D.; Werning, S.; Adelmeyer, T.; Ickerott, I.; Thomas, O. (2017): Sind Smart Glasses die Zukunft der Digitalisierung von Arbeitsprozessen? Explorative Fallstudien zukünftiger Einsatzszenarien in der Logistik. In: Leimeister, J. M.; Brenner, W. (Hrsg.): Internationale Tagung Wirtschaftsinformatik. St. Gallen, Schweiz, AISeL.

Metzger, D.; Niemöller, C.; Thomas, O. (2016): Hybride Aus- und Weiterbildung – Wie Datenbrillen die Lern- und Arbeitsumgebung von Morgen verändern. In: Hohenstein, A.; Wilbers, K. (Hrsg.): Handbuch E-Learning, 62. Erg.-Lfg. Köln, Verlag Deutscher Wirtschaftsdienst, 1–17.

Metzger, D.; Niemöller, C.; Jannaber, S.; Berkemeier, L.; Brenning, L.; Thomas, O. (2017): The next generation – Design and implementation of a smart glasses-based modelling system. Enterprise Modelling and Information Systems Architectures.

Niemöller, C.; Metzger, D.; Fellmann, M.; Özcan, D.; Thomas, O. (2016): Shaping the Future of Mobile Service Support Systems – Ex-Ante Evaluation of Smart Glasses in Technical Customer Service Processes. In: Mayr, H. C.; Pinzger, M. (Hrsg.): Informatik, LNI 259. Klagenfurt, Österreich, 753–767.

Niemöller, C.; Metzger, D.; Thomas, O. (2017): Design and Evaluation of a Smart Glasses-based Service Support System. In: Leimeister, J. M.; Brenner, W. (Hrsg.): Internationale Tagung Wirtschaftsinformatik. St. Gallen, Schweiz, AISeL,

Metzger, D.; Niemöller, C.; Wingert, B.; Schultze, T.; Bues, M.; Thomas, O. (2017): How Machines are Serviced – Design of a Virtual Reality-based Training System for Technical Customer Services. In: Leimeister, J. M.; Brenner, W. (Hrsg.): Internationale Tagung Wirtschaftsinformatik. St. Gallen, Schweiz, AISeL,
2Artificial intelligence (AI)
Barenkamp, M. (2020). Künstliche Intelligenz in der Softwareentwicklung Wirtschaftsinformatik & Management, 12(2), 120–129

Barenkamp, M., Rebstadt, J. & Thomas, O. Applications of AI in classical software engineering. AI Perspect 2, 1 (2020)

Barenkamp, M., "A New IoT Gateway for Artificial Intelligence in Agriculture," 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Istanbul, Turkey, 2020, pp. 1-5

Barenkamp, M. (2020): UI Generierung aus Handschriften im Design Sprint Prozess. In: Informatik Spektrum, Vol. 43, No. 3, S. 211–219
3Internet of Things (IoT)
Barenkamp, M., Schoenke, J., Zarvic, N. et al. IoT Best Practices. HMD 56, 1157–1177 (2019)

Barenkamp, M., "A New IoT Gateway for Artificial Intelligence in Agriculture," 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Istanbul, Turkey, 2020, pp. 1-5

Barenkamp, M. (2020): IoT Security Best Practices. In: HMD Praxis der Wirtschaftsinformatik
4Software engineering & Agile approach
Barenkamp, M. (2020): UI Generierung aus Handschriften im Design Sprint Prozess. In: Informatik Spektrum, Vol. 43, No. 3, S. 211–219

Barenkamp, M., Thomas, O., & Zarvic, N. (2019). „Agile“ – Nur ein Buzzword? Wirtschaftsinformatik & Management, 11(4), 224–237

Niemöller, C.; Özcan, D.; Metzger, D.; Thomas, O. (2014): Towards a Design Science-Driven Product-Service System Engineering Methodology. In: Tremblay, M. C.; VanderMeer, D.; Rothenberger, M.; Gupta, A.; Yoon, V. (Hrsg.): Design Science Research in Information Systems and Technologies (LNCS 8463). Miami, USA, Springer, 180–193.

Metzger, D.; Niemöller, C.; Zarvic, N.; Welk, M.; Thomas, O. (2015): Revolution im Kundendienst durch Smart Services. IM+io Fachzeitschrift für Innovation, Organisation und Management 2(2015):39–43.

Metzger, D.; Niemöller, C.; Thomas, O. (2016): Design and demonstration of an engineering method for service support systems. Information Systems and e-Business Management 4(14):1–35.
5Data Mining
Luebbers, Dominik & Grimmer, Udo & Jarke, Matthias. (2003). Systematic development of data mining-based data quality tools. In Proceedings of the 29th international conference on Very large data bases - Volume 29 (VLDB '03). VLDB Endowment, 548–559.


We are currently involved in the European cloud project GAIA-X, which is dedicated to building a networked, open data infrastructure based on European values.

GAIA-X is designed to secure Europe's independence and innovative ability by means of digital sovereignty. Until now, there have been few alternatives to the major cloud providers for companies driving digitization in Germany. These hyperscalers are headquartered in jurisdictions that are in some cases not compliant with the DSGVO, which means that the infrastructure does not fully meet the requirements of European companies. Moreover, if in-house developed applications and innovations, business-critical enterprise software or personal data are located in these clouds, this not only raises data protection issues.

The GAIA-X project was created through an initiative of the German federal government and today it brings together representatives of over 300 organizations from many countries. It is considered as one of the most important political and technological projects in Europe and is therefore experiencing an enormous boost. With GAIA-X, an important element for the further digitalization of many areas of life can be created. Only if it is possible to turn data into information, through trustworthy technologies, can the potential of digital transformation be fully exhausted. To achieve this, however, all participants must have full control over their data at any time. Within the project, we are developing concrete use cases and application scenarios in order to implement new business models for companies using artificial intelligence on the GAIA-X platform.

A Next Generation European Data Infrastructure

Agri-Gaia is designed as a decentralized infrastructure for the exchange of data and algorithms in agriculture. GAIA-X is used as the basic infrastructure to implement, for example, identity management and semantic description of services and data.
GAIA-X is based on proven European strengths. These include, among other things, the diversity of its offerings and strong medium-sized and decentralized structures. In this way, the numerous investments in digital technologies spread across Europe are linked and have a greater impact.

GAIA-X Agri-Gaia


„That is really innovative! That is our claim and the claim that our customers have towards us. It's about questioning and realizing the possibilities of AI, mixed reality or miniature sensor systems with which measure and manage data in real life and carry out optimizations. To generate this knowledge, we are very engaged in research and development. Together with our partners, we develop solutions that work."

Marco Barenkamp
+49 (0)541 | 200 690-200




Our service portfolio includes KI, AR, SWE and MIS. Our experts explain what exactly is behind these in video interviews.

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