We offer cutting-edge data analysis and the development of AI applications in cooperation with our partner, the German Research Center for Artificial Intelligence (DFKI).
Thanks to our years of experience in AI research, we are experts in multi-disciplinary research transfer as well as in the development of applications to support and facilitate research projects.
We develop high-quality applications for mobile platforms as well as for desktop platforms and the web. Using wearables and augmented reality (AR) applications, we are connecting the digital world even more intuitively with the physical world.
We develop strong and reliable backend services as distributed systems based on full-stack frameworks and database solutions, as well as intelligent interfaces which connect your digital processes.
Create flowcharts with a mindmapping workflow. Rather than being restricted to a strict tree-structure like traditional mindmapping apps, flows can merge together or loop back around. But you can still stay focused on your thoughts, as our interactive algorithm handles the layout for you. Even large changes to the structure do not require a lot of manual work, as the algorithm will adapt automatically.
QuikFlow just launched on macOS and will be available on additional platforms in the future.
Asking questions gets easier with our smart study system CASE. Its core is a highly flexible Study Engine which makes it possible to conduct complex studies based on the highest scientific and data protection standards. CASE is used to implement time- and resource-efficient platforms for participatory data collections. Our modern AI components assist with survey and study design. Participants receive dynamic personalized questions and thus remain motivated longer to participate in studies.
Answers to thousands of questions being asked with the help of CASE are already getting scientifically published.
The EU-funded EpiPose project investigates COVID-19’s impact on society and health services in the EU including an estimate of its economic impact. The participatory data collection system used within the project has been developed by our team.
InfluenzaNet 2.0 is a modernized version of InfluenzaNet, an online participatory monitoring system with the purpose of providing valuable information for researchers as well as ordinary citizens. It is currently active in over 12 European countries. It brings major benefits to the research and detection of influenza-like-illnesses (ILI) and recently additionally of diseases like COVID-19.
Our team supported projects within the Wear Sustain Knowledge Platform. The goal of the Wear Sustain Platform was to create a network of artists, designers, and engineers to develop best practice solutions in the field of wearable technologies across Europe.
The project, which is funded by the BMBF and started in 2021, is researching the use of AI assistance for lathe operators in order to optimize metal-cutting production.
The VERDI (SARS-CoV2 variants Evaluation in pRegnancy and paeDIatrics cohorts) project aimes at creating a multidisciplinary global network whose goal is to understand the epidemiology, outcomes, prevention and treatment of variants of SARS-CoV-2 among children and pregnant women.
This is just a small selection of our projects and partners.
Contact us if you are interested in learning more or working with us.
Volume 04/2021 - UNISPECTRUM
With its technologies for participative systems, coneno supported the live experiment of a group of researchers from the University of Landau and TU Kaiserslautern. As part of the "TV-Trielle" for the 2021 Bundestag elections, the participants in the experiment were able to rate the chancellor candidates during the three TV debates based on their statements and impact via an app. The article on the project can be found in the current issue (4/21) of Unispectrum on page 46.
26.10.2021 - DFKI GmbH
COVID 19 hat gezeigt, wie wichtig umfangreiche Basis-Informationen zu Ansteckungswegen, Krankheitsverläufen und Symptomen sowohl für die Abschätzung des Pandemieverlaufes als auch für die langfristige Forschung sind. Die Plattform CASE des 2016 gegründeten DFKI-Spin-offs coneno unterstützt das Monitoring von infektiösen Krankheiten durch direkte Beteiligung der Bevölkerung.
21.09.2021 - University of Koblenz-Landau
Wahrnehmung und Wirkung der dritten TV-Debatte 2021 zwischen den Kanzlerkandidaten Armin Laschet (CDU), Olaf Scholz (SPD) und Annalena Baerbock (Bündnis 90/Die Grünen) haben die Universität Koblenz-Landau, das Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI) und die Technische Universität Kaiserslautern im Rahmen eines Live-Experiments untersucht. Die Hauptergebnisse des Live-Experiments mit 114 Teilnehmern lauten: Annalena Baerbock hat auch das letzte Triell für sich entschieden. Armin Laschet agierte so zurückhaltend wie noch in keiner der TV-Debatten. Olaf Scholz gelang es erneut, für seine Politik zu werben und sich Kontroversen zu entziehen. Die Debatte hatte erneut einen erheblichen Einfluss auf die Kanzlerpräferenz.
14.09.2021 - University of Koblenz-Landau
Die Universität Koblenz-Landau, das Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI) und die Technische Universität Kaiserslautern haben Wahrnehmung und Wirkung der zweiten TV-Debatte 2021 – dem Triell zwischen den Kanzlerkandidaten Armin Laschet (CDU), Olaf Scholz (SPD) und Annalena Baerbock (Bündnis 90/Die Grünen) - untersucht. Die Hauptergebnisse des Live-Experiments mit mehr als 400 Teilnehmern: Annalena Baerbock hat das Triell klar für sich entschieden. Armin Laschet wurde noch angriffslustiger als in der ersten Debatte eingestuft. Olaf Scholz musste sich häufig verteidigen. Die Debatte hatte Einfluss auf die Kanzlerpräferenz.
09.09.2021 - DFKI GmbH
Die Universität Koblenz-Landau, das Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI), das DFKI-Spin-off coneno und die Technische Universität Kaiserslautern untersuchen in einem Live-Experiment die Wahrnehmung und die Wirkung der TV-Debatten 2021 („Triell“) zwischen den Kanzlerkandidaten Armin Laschet (CDU), Olaf Scholz (SPD) und Annalena Baerbock (Bündnis 90/Die Grünen).
06.09.2021 - University of Koblenz-Landau
Die Universität Koblenz-Landau, das Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI) und die Technische Universität Kaiserslautern haben im Rahmen eines Live-Experiments Wahrnehmung und Wirkung der ersten TV-Debatte 2021 („Triell“) zwischen den Kanzlerkandidaten Armin Laschet (CDU), Olaf Scholz (SPD) und Annalena Baerbock (Bündnis 90/Die Grünen) untersucht. Die Hauptergebnisse des Live-Experiments mit rund 110 Teilnehmerinnen und Teilnehmern: Olaf Scholz und Annalena Baerbock profitieren deutlich mehr als Armin Laschet von der Debatte. Zudem hat die Debatte einen erheblichen Einfluss auf Kanzlerpräferenz und Wahlabsicht.
coneno was founded in 2016 as a spin-off company of the German Research Center for Artificial Intelligence (DFKI). We offer high-quality software development. Due to our roots in AI research, we specialize in implementing AI applications as well as supporting scientific and innovative projects.
We are a modern, European IT company with an international network, always keeping an eye on the latest technologies and committed to protecting the privacy of the individual.
Members of our interdisciplinary team share a passion for excellent software, the ability to think outside the box, and an urge to share our knowledge. Based on agile principles, we are working closely together with our customers and are crafting state-of-the-art solutions that open up new possibilities.