Dealflow.eu's University Spin-offs E-pitching event
 Dealflow.eu's University Spin-offs E-pitching event
Pixel Voltaic wins the 15th Edition of the Dealflow.eu's University Spin-offs E-pitching Event

The 15th Edition of Dealflow.eu's University Spin-offs e-pitching event, organised together with EurA AG, we will introduce 5 ground-breaking projects in the fields of #Robotics, #AI, #ICT, #nanotech, #medtech, #energy, and industrial communication systems: 

Progressive Robotics is a university spin-off of Aristotle University of Thessaloniki (AUTH) that has developed a patent-pending solution to easily teach robots how to perform packing and palletizing tasks in the manufacturing industry with AI, in just a few seconds. 

Vicomtech is your R&D partner for smart digital solutions. They are a Technology Centre specialised in Artificial Intelligence, Visual Computing and Interaction. They work in favour of the competitiveness of businesses, creating value for society. 

CNR - ISMN is a CNR research institute internationally renowned for its multidisciplinary activities in the field of nanostructured materials and enabling processes and technologies. The institute aims at generating state of the art knowledge in the field of Chemical Manufacturing and Science and Technology of Materials. 

Pixel Voltaic develops an innovative process using a catalytic reactor to convert methane into clean hydrogen and solid carbon at low temperature.   

Better than Wire provides wireless solutions for low level control in industrial automation deployments. Offering wired-like QoS over a wireless, they enable flexibility and adaptability in production lines, remote control with extreme robusteness of AGV/AMRs, robotic arms wireless control amongst others. 

The 112CO2 Project

Coordinator address

Faculdade de Engenharia da Universidade do Porto
Departamento de Engenharia Química
Rua do Dr. Roberto Frias, s/n
4200-465 Porto,
PORTUGAL

Acknowledgement

 Dealflow.eu's University Spin-offs E-pitching event

Funded by the Horizon 2020

Framework Programme of

the European Union


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952219. The information and views set out in this report are those of the author(s) and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained herein.

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