(Press-News.org) The Universidad Carlos III de Madrid (UC3M) has become a shareholder of five new companies recently set up and promoted by different researchers: Applied Innovative Methods, Hiili, Persei Space, Seevia Technologies and 60Nd.
UC3M participates in the share capital of its spin-offs in order to contribute to their business development. This minority and temporary shareholding is articulated in accordance with the regulations for the creation of knowledge-based university companies.
AI Methods, S.L., led by Manuel Soler and Javier García-Heras, researchers from the Aerospace Engineering Department, aims to reduce the risk of weather-related events in aviation by promoting greater availability of weather information and better connectivity to provide more frequent weather updates to airlines, air navigation service providers and other organisations. In order to do this, it develops cutting-edge artificial intelligence (AI) models to predict weather patterns more reliably than is possible when using traditional weather prediction algorithms.
Hiili, S.L., led by Ángel and Rubén Cuevas Rumín, researchers from the Telematics Engineering Department, develops technological solutions that combine Internet measurement techniques and Machine Learning-based models to give an accurate estimate of the energy consumption of a company's digital processes. The first product is focused on the field of digital advertising. Specifically, the level of granularity offered by its system will allow a precise quantification of a company or brand's energy consumption for each advert that it shows to a user. From 2025, according to a European directive, companies will have to report on how their business model impacts sustainability.
Persei Space, S.L., led by Gonzalo Sánchez Arriaga and Manuel Sanjurjo Rivo, researchers from the Aerospace Engineering Department, aims to develop and commercialise space products, in both the software and hardware fields, through space propulsion solutions based on electrodynamic tethers. In addition to being lightweight and scalable, space tethers can produce a drag or propulsive force in orbit without using propellant, making them ideal for space debris deorbiting and orbital mobility applications to provide in-orbit services.
Seevia Technologies, S.L., led by Abdulla Al-Kaff and Fernando García Fernández, researchers from the Systems Engineering and Automation Department, focuses on the creation of high added-value technological solutions, focused on the application of AI and computer vision in the automotive sector, as well as in traffic monitoring and other tasks related to the Smart City concept. Its expertise lies in the development of perception systems based on information from a wide variety of sensors, including LiDAR, radar, cameras and GPS.
60Nd, S.L., led by the researcher Daniel García González, from the Continuum Mechanics and Structural Analysis Department, is a spin-off dedicated to the design and production of lab instrumentation for the in vitro simulation of biological processes influenced by mechanical effects. It aims to commercialise a disruptive technology to induce mechanical activations in cells through magneto-responsive materials. This technology allows for new research possibilities in the fields of mechanobiology and mechanomedicine, with high potential to reduce time and costs during pharmaceutical research phases and to improve the quality and efficiency of treatments.
Including these companies, UC3M is currently a shareholder of 11 spin-offs which are supported by the programme for the creation of and shareholding in spin-offs, located in the University's Science Park's Centre for Innovation in Entrepreneurship and Artificial Intelligence (C3N-IA, in its Spanish acronym). The other companies are: Cyclomed Technologies, Evidence Based Behavior, Inrobics Social Robotics, Laboratorio Hipermedia, LeapWave Technologies and Power Smart Control. In addition, UC3M is also a shareholder of Sensia Solutions.
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UC3M is a shareholder of five of its researchers’ new spin-offs
2024-05-30
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