"As a professional cycling team we have athletes based all over the world, and at times we don’t see them in person for several weeks during the season or months during the off season, and even longer in the current climate. The Lumin Arc platform and Phila app allow us to simplify and centralise both qualitative and quantitative data on the athletes and is a valuable tool for us both for helping with team selection decisions, but also for general monitoring of the athletes health and well being."

"We joined Lumin early in the development of their Arc platform as we believed that Arc has tremendous potential in the AFL. As a decision maker in the club, I need key player data presented and available to me at any given time, this is something that Arc has shown extremely strong potential."

“As an athlete I find it incredibly powerful to have the access to my data that all of my coaches also see. It allows me to understand the importance of training and trends in a visual form. The relationship between Dimension Data now NTT and Lumin has been very powerful for athletes and the team as a whole.”

"Lumin's ARC platform is a game changer in professional cycling. Arc has given our team real insights into the athlete’s performance and how they are feeling and training every day. This has and will continue to improve our decision making in a globally disparate team."

"We have been working with Lumin since early 2018. Working with our purpose built data collecting tool, Lumin have given our Head Coaches and Key Decision Makers in the team access to visualisations of key performance data in near real time."

"We are a sport and a team with such a diverse work force which is geographically dispersed. Keeping in touch with each other is critical , every day that a rider is not able to train is a day lost to the team and to the rider. Technology and the partnership with Lumin has enabled us to be more connected than ever in a meaningful and relevant way, keeping us on the road."

"I can comfortably say that Lumin has saved us well over 40% in time spent collecting and preparing data, meaning we can spend more time putting the data to use."