The Bosch Internet of Things Lab is a cooperation between the University of St. Gallen, ETH Zurich and the Bosch Group. The Bosch IoT Lab investigates business models in the Internet of Things (IoT) and explores disruptive IoT products and services. In the realm of “Connected Business”, the focus is on managing the digital transformation of large manufacturing companies. In the area of “Technology Exploration”, the lab is investigating the business potential of blockchain technology and artificial intelligence. Finally, in the field of “Business Incubation”, the Lab develops and validates products and services in the domains of mobility, energy and health. Please get more insights into our business incubation activities in the following video.


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IoT Business Models

Our research provides theoretically and practically grounded assistance to companies that are today engaged primarily in non‐digital industries in the development and implementation of business models [...]

IoT Revenue Models

More and more companies recognize the Internet of Things (IoT) as a game changer within their industries. The IoT represents the vision that every object [...]


Diabetes mellitus and its associated complications represent an important challenge to society and the health care systems globally. It is estimated that currently 425 million adult patients [...]

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Lehmann, V., Maritsch, M., Züger, T., Marxer, A., Bérubé, C., Kraus, M., Albrecht, C., Feuerriegel, S., Kowatsch, T., Fleisch, E., Wortmann, F., Stettler, C., A machine learning-based approach to non-invasively detect hypoglycemia from gaze behavior while driving, 81st Scientific Sessions of the American Diabetes Association, Late Breaking Abstract, 10.2337/db21-5-LB.

Tripyla, A., Lehmann, V., Herzig, D., Meier, J., Banholzer, N., Maritsch, M., Feuerriegel, S., Wortmann, F., Bally, L., Driving performance after intake of glucose vs. aspartame in patients with postprandial hypoglycemia following gastric bypass surgery, 81st Scientific Sessions of the American Diabetes Association, 10.2337/db21-51-OR.

Lehmann, V., Züger, T., Kraus, M., Maritsch, M., Feuerriegel, S., Wortmann, F., Kowatsch, T., Albrecht, C., Bérubé, C., Styger, N., Lagger, S., Laimer, M., Fleisch, E., Stettler, C., HEADWIND: Design and Evaluation of a Vehicle Hypoglycemia Warning System in Diabetes – Results from a Driving Simulator Study, ATTD Advanced Technologies & Treatments for Diabetes Conference.

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