Springturn is a neuromuscular training system that measures and improves your ability to control force under instability — where performance breaks down and injuries occur.
High-frequency control data captured in every session
Joint-specific control signatures (ankle, knee, hip, shoulder)
Detection of asymmetries and breakdowns in control
Benchmark athletes across team and global datasets
Strength doesn’t fail in perfect conditions. It fails when dynamic control is lost.
Springturn translates complex neuromuscular signals into clear, actionable insights.
Our models analyze how control is maintained or lost under instability, providing a deeper understanding of athlete performance.
Identify breakdowns in control as they happen
Detect asymmetries between limbs and joints
Track changes across fatigue and over time
Benchmark athletes across team and global datasets
Readiness indicators
Stability and control scores
Fatigue response curves
Athlete-specific movement signatures
These insights are generated through models trained on Springturn’s proprietary neuromuscular control dataset.
Turn dynamic measurements into actionable data
Springturn is building one of the first large-scale datasets of human neuromuscular control under instability.
This dataset is uniquely difficult to replicate due to the combination of hardware, real-world athlete usage, and longitudinal tracking.
As adoption increases, the system continuously improves, strengthening both the quality of insights and the long-term value of the platform.
