Hippos is building symbiotic intelligence for the human body.
We embed edge AI inside soft exoskeletons that continuously sense, predict, and respond to the body's physical signals in real time. The system combines proprietary high-frequency sensing with active intervention layers woven into textile, engineered to resist physical failure under extreme stress, from ACL tears to long-term degradation.
We start with soldiers, elite athletes, and post-surgical patients because they generate the high-signal physical intelligence data that cannot be scraped, simulated, or collected without the hardware itself. Every deployment compounds the dataset. Every dataset trains the model.
We are a team of roboticists, biomechanists, and clinicians building the first AI that lives on the human body, learns from it, and intervenes for it.
First defense field deployment at Fort Cavazos. Two-year partnership capturing biomechanical signal under sustained operational load.
First labeled in-vivo dataset of ACL failure biomechanics on living humans. ACL-deficient knees exhibit 22% greater rotational displacement and 58% faster rotational rate than healthy controls. Model accuracy 93–99% distinguishing ACL-deficient from healthy kinematics on individualized profiles; 75% precision localizing the injury window within a movement sequence from raw sensor data alone. (n=8)
Robotic ex-vivo quantification on Cleveland Clinic's simVITRO bio-robotics platform. 10–25% reduction in tibial rotation under constant torque across flexion angles, with angle-dependent protection increasing at flexion. No coupling into adjacent kinematic axes.
Multi-task biomechanical capture across change-of-direction, drop landings, deceleration, and gait. 10-camera Qualisys motion capture and dual Kistler force plates at 2,000Hz. Intervention halted knee flexion in 11 of 11 activations without compensatory loading at hip, ankle, or trunk in 55% of trials.
50+ hours of continuous high-intensity biomechanical data across 15 elite athletes: sprinting, cutting, jumping, contact scrimmage. First longitudinal in-the-wild dataset of its kind. Zero skin irritation, overheating, or measurable performance impairment.
On-body sensor signal validated against laboratory motion capture during single-leg jump-landing. 68% reduction in valgus angle achieved on threshold-triggered intervention in the live training environment, with no external equipment.
Live-subject quantification of active intervention across 17 athletes and three intervention designs in the dominant ACL injury scenario. Peak valgus angle change reduced from 6.1° to 1.95°. Engagement within the ~60ms injury window. Faster than neuromuscular reflex.
Closed-loop benchmarking on anatomically-accurate synthetic knees (3D-printed bone + ballistic gel, ~90% human fidelity). 6,400Hz on-device sensing; mean deployment 30ms; 0.15% false positive rate across 54 live cartridge deployments and 4,000 computational simulations.
The institutions deploying us. The people running them, invested in us.