Wild.AI helps women optimize their training and leverage their female physiology as their unfair advantage.
Only 6-8% of sports research is done on female-only groups. Data collected in sport research is primarily done on male and mixed participant groups, skewing the data towards a male audience. This means female specific performance and recovery in sports is rarely explored.
Wild.AI uses data to empower and assist female athletes train, fuel and recover, optimizing performance and minimizing the risk of injury. It considers a woman’s current life stage and hormonal cycle and this information to provide insights and recommendations that help maximize recovery and performance.
Helene is a data scientist and an athlete, with a degree in Advanced Mathematics and a Master’s in Finance and Financial Risk Management from Audencia. She sits on the Board of Advisors for Women in Sports Tech, and has been a guest lecturer at the University of Oxford, INSEAD and Stanford University. Prior to founding Wild.AI, Helene had also cofounded PeakAI.org, a community of AI researchers and founders.
Founded at Entrepreneur First
Pre-seed ($600 thousand)