On Friday, October 1, the program of the CAST Summer School, born from an idea of two realities of Politecnico di Torino: EIC Entrepreneurship and Innovation Centre, which deals with entrepreneurship support, and CLIK Connection Lab & Innovation Kitchen, active in the field of innovative education and part of the network of projects of the newly born CTE Next, ended. CAST, acronym of Creating A great Startup, has involved the master's and doctoral degree programs of the Politecnico and the Technical University of Darmstadt, the Aalto University, the Grenoble INP Graduate school of Engineering and Management, the KTH Royal Institute of Technology, the Universidade de Lisboa and the Universitat Politècnica de Catalunya, partner universities of Unite!, an international university network dedicated to innovation.
CAST, during the selection phase, received 264 applications and 54 candidate ideas and, for the 30 places available, profiles from many different areas related to the fields of engineering and architecturewere selected, in order to create a context in which it was possible to compare, adapt, exchange ideas and a whole range of soft skills useful for anyone who wants to move towards an entrepreneurial path.
During the three-week program, the students participating in this first edition took part in lectures and interactive workshops dedicated to understanding the fundamental steps to transform an idea into a sustainable business. The work of the teams that were composed focused on ideas proposed by the students or on technologies already patented by the Politecnico. All the steps of the development of an entrepreneurial idea were analyzed, both from a theoretical and practical point of view, in order to identify in a transversal way the main skills needed in the creation phases of a startup.
The teams during their work also had the opportunity to interact with local and international experts on entrepreneurship and innovation such as Gigi Wang (Industry Fellow at Berkeley University), Rick Rasmussen (Industry Fellow at Berkeley University), Shomit Ghose (General Partner of ONSET Ventures), Whitney Hischier (Professor at the Haas School of Business), Alessandra Colombelli (Director of the EIC Entrepreneurship and Innovation Centre) and Emilio Paolucci (Professor at the Politecnico di Torino and Director of the Alta Scuola Politecnica)..
During the final session a demo day took place where the teams presented the results of their three weeks of work to a jury composed by Andrea Basso (CTO of MITO Technology), Alessandro Commito (Director of EnVent Capital Markets), Angelo Italiano (Associate of Club degli Investitori), Marta Nervo (Associate of Venture Factory) and the already mentioned Emilio Paolucci and Gigi Wang. The jury declared the victory for the CAMELOT group, composed of Serena Campioli, Giorgia Coletta, Gaetano Miraglia, Davide Pederbelli, Amair Revilla and Riccardo Valpiani.
The demo day ended with the round table "Where do we go from here?", moderated by Alessandra Colombelli, in which participants were shown the opportunities and services available on the territory thanks to theinnovative and entrepreneurial ecosystem of Turin through the interventions and contributions of Shiva Loccisano (Head of Technology Transfer of Politecnico di Torino), Arianna Elena Maschietto (Corporate Partner and Program Manager of Plug and Play Tech Center), Maria Cristina Odasso (Head of Business Analysis of LIFTT) and Professor Giuseppe Scellato (President of I3P).
Alessandra Colombelli commented: "An element that has distinguished this path has been the presence of a strong innovative character of the ideas and technologies on which the students have worked during these weeks. Four of the six student teams were involved in technologies developed by research groups at the Politecnico di Torino in order to identify a value proposition and a commercialization strategy".
The projects of the first edition of CAST
CAMELOT (struCturAl ModEL cOrroboration Toolbox)
A technology of DISEG - Department of Structural, Construction and Geotechnical Engineering, which through an integrated system allows the resolution of dynamic characterization problems and the permanent and periodic monitoring of complex civil structures and infrastructures. The team was awarded for having been able to develop a business idea with the potential to create value for the local ecosystem.
RENEE (pRotected assEts iN softwarE binariEs)
A technology from DAUIN - Department of Automation and Computer Science, which enables automatic detection of patterns left in binary code by software protection techniques used to safeguard intellectual property against reverse engineering attacks. Through this technology, cybersecurity practitioners can obtain a fast and reliable assessment of the effort required for a hacker to recognize protected areas, thus locating valuable assets in software.
Energy Harvesting Device – The Singing Showerhead
Technology from the DENERG - Energy Department that consists of integrating an audio speaker and an electric turbine into a showerhead. The turbine generates energy to power the speaker by directly exploiting the flow of water used for washing, without ever having to recharge it through the domestic electricity network.
SIRIO (BIM_VR_IoT Algorithm for SLA)
An algorithm, developed within DISEG - Department of Structural, Construction and Geotechnical Engineering, that allows patients suffering from motor neuron degradation to navigate within a 3D model, allowing interaction with common objects such as electrical systems, doors and windows. The algorithm creates a scalable and extensible system through the information stored in a building's Building Information Modeling (BIM), integrating it with IoT technology to control indoor automation.
Entrepreneurial idea that aims to give the possibility to sort waste by obtaining a remuneration in cryptocurrency. In this way it is possible to make this practice applicable in any country regardless of the local currency.
A device that allows to effectively monitor the use of spaces through sensors that anonymously count people and, using artificial intelligence algorithms, show the salient data on a platform designed following the desires, needs and limits of customers.