IBM Hyper Protect Accelerator just selected sorius and its coaching solution for cyclists in its 2022 promotion of the most promising startups in terms ofArtificial intelligence. Explanations with this interview from Florent PolizziSorius’ CTO and Niels Brouzes, CxO and former professional cyclist. As a reminder, Niels Brouzes is the founder of the platform sorius that offers state-of-the-art training at an affordable price. The ex-professional returns to the foundations of his philosophy that he has duplicated through this project that is emerging today. As a reminder, Niels Brouzes was a professional cyclist from 2002 to 2010 on the Stéphane Javalet – Big Mat -Auber93. Champion of France in the category of hopes, winner of the Tour du Finistère in the Coupe de France among professionals, he has advised many professional and amateur runners for more than 10 years using his method of support.
Video – Niels Brouzes is the founder of the Sorius platform!
Sorius has just joined IBM’s global acceleration program in Artificial Intelligence, can you tell us more?
Niels Brouzes : It is a great pride to be part of the IBM Hyper Protect Accelerator program, it is the result of a team that brings together multiple high-level skills including those of Florent Polizzi who is one of the co-founders and CTO (Technical director) since the start-up Sorius. He is the coach of the team, when I presented the project to him he immediately told me that he could scale Sorius internationally with a dedicated team and that he wanted to write the story of Sorius and transform coaching with a new technological approach. It’s a machine in its field!
Florent, technology is at the heart of the Sorius program, how do you see the integration in this IBM HPA program?
Florent Polizzi : “Tech For Good For Profit”, here’s how I can define the IBM Hyper Protect accelerator that accompanies the unicorns of tomorrow for a tripartite view of your business model, putting the human and the confidentiality of your data, performance and technology impact. Joining this program is a great opportunity to make Sorius the leader in online coaching in the world and a major player in sports and health. We are very proud to represent France and to be able to benefit from IBM’s best experts in Artificial Intelligence on an international scale.
What were the selection criteria?
Federal Police : Several hundred startups from all over the world have applied for this program and Sorius is one of the few French startups to be among the selected companies. Several criteria had to be met to participate in the program, which focuses on supporting innovative solution providers around the world leveraging highly sensitive data across digital, financial, insurance and healthcare services. By offering our revolutionary artificial intelligence for cycling training, supporting cycling for health by integrating the insurance world, Sorius had good cards to draw from, it’s done. Niels will say it’s like joining one of the best teams on the World Tour!
What are Sorius’ strengths in this program?
Federal Police : We have access to world-class security experts with deep business knowledge in more than 20 industries, we partner with the most open and secure cloud provider for businesses with advanced AI and next-gen data, and we integrate a community of more of 145 startups, an exceptional opening for Sorius.
In addition, we have two years of ongoing technical guidance from a team of IBMers and 3 months of business guidance led by Village Capital, Sorius will receive IBM Cloud Credits of up to US$120,000, which equates to a maximum of US$10,000 per month. for a period of one year.
Is it a real technological challenge?
Federal Police : The real technology challenge is the AI learning methodology. You have to take AI like a child who must learn to solve situations having as basic elements, raw data and solutions that are provided at the beginning. It must therefore accumulate a maximum of solutions in raw data to learn. The goal is for the AI to provide the solution on its own to the data submitted to it. If we take a very simple example with cats and chickens: we give the AI hundreds of thousands of images of chickens and cats, saying each time that one image corresponds to a chicken and another to a cat, and that for all the images we initially give it . Thanks to this training, the AI learns to classify an image in the category that most closely matches it. If we draw a parallel with SORIUS: thanks to the user’s learning and data (personal goals, sensations, feelings, biorhythms, availability, etc.), SORIUS’ AI will be able to provide the user with the most suitable training for him. My personal challenge is to make users feel heard, understood and supported in their goals by SORIUS AI.