With proven interdisciplinary expertise in biomechanics and software engineering, we use our advanced AI- technology to capture physical motion, individual 3D body shapes and generate valuable, first-hand data, providing recommendations to our customers.
Operating in various high growth market segments, we follow a versatile approach of solving customer problems, from lowering the return rate in e-commerce with 3D technology to the digitisation of healthcare. Strong technological backbone with modular, adjustable application engine, perfectly fitting to its diverse customer needs, generating unlimited scalable unique data.
Always one step ahead, we strive for breakthrough innovations. We aim to create unique technologies across various industries, capturing and analyzing data and turning it into solutions that improve the quality of life and make everyday activities effortless.
From our offices in New York City, Berlin and Cologne, we work as one team across time zones to support our clients and partners around the globe.
We are a growing team of experts from fields as diverse as biomechanics, data science, AI, software engineering and cloud operations.
We unite different cultures and experiences from around the globe. We embrace equality at work for all, irrespective of religion, gender, ethnic background or sexual identity.
Motesque was founded in 2015 and is a fast-growing, innovative startup from the e-commerce and healthtech sector. Prof. Dr. Kai Oberländer, Tobias Lang, Tobias Fink and Prof. Dr. Gert-Peter Brüggemann form the founding quartet.
Pilot project with ASICS to develop “Motion ID”
Strategic partnership with ASICS
Strategic partnership with Ottobock
Strategic partnership with Signa Sports United
Research project with Ottobock
Angel Investor
Further expansion of the management team
Strategic partnership with Swiss Sense
Offices Germany
Spichernstr. 6
50672 Cologne
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Our international study surveyed 1500+ consumers‘ expectation towards the online-shopping of advice-intensive products.
Download the findings on how manufacturers and retailers can optimize their product recommendations for a more satisfied customers and less product returns!