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About Jeani

Our algorithm and 6 axis accelerometers built into Jeani allow movement imbalance to be detected in real time. Accelerometers in our wearable are able to detect the impact and musculoskeletal load of our users. Load score is combined with training data and athlete symptom data to build predict injury risk. Both movement quality and load scores are combined to provide athlete specific injury risk factors alongside training adaptation insights. This can help athletes, coaches and medical support staff monitor training programs, optimise training outcomes and minimise injury risk.

Employees
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Leadership

The top of Jeani's org chart, with how many people report into each leader.

EB

Ewan Bradley

Co-Founder and CEO

Jobs at Jeani

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