ZONE7

Zone7 is a proprietary AI solution that works with sports organisations to forecast injury risk and help athletes attain peak performance. The platform harmonises disparate datasets, analyses them to uncover significant patterns, cross-references with the Company’s own performance data lake (over 200 million hours), and makes proactive recommendations to help coaches and other decision-making practitioners. Zone7 is device agnostic and can interpret whatever strength, conditioning, and medical data a sports organisation has available.

As heavy competitive schedules, minimal rest periods and rigorous training routines put professional athletes at higher risk of injury, Zone7 is helping clubs modify players’ training, reduce non-contact injuries, and recoup more value from player contracts. The Company works with elite teams across the EPL, NFL, MLB, MLS, La Liga, Serie A, NCAA, and Premiership Rugby. Notable clients include Liverpool FC (FA/League Cup winners, Champions League finalists), Rangers FC (Europa League finalists), Valencia CF, LAFC, and QPR FC. Notable investors include athletes (Kristaps Porzingis, Jordi Cruyff, Phil Jones), team owners, and venture capital firms (Blumberg Capital, Resolute Ventures).

Zone7’s ability to provide demonstrable results, authenticity, and transparency in its data science approach is what drives the Company’s reputation and new business pipeline. Across all sports organisations that trial Zone7’s technology, more than 90% become retained clients after undergoing a retrospective test analysis. Client onboarding is a high-touch process allowing for customization and minimal disruption for coaches, performance, and fitness staff. Practitioners can adopt recommendations as part of their daily personalised workload and recovery protocols.

Zone7 has no direct competitors in how it services professional sports organisations. According to management consultancy Upside Global, Zone7 stands out as the only ‘AI Vendor’ in the injury risk ecosystem. The company’s proprietary algorithms are essential to identifying risk patterns, preempting injuries and optimising training with unmatched accuracy.