Moro builds the infrastructure that captures, understands, and acts on physical motion — fusing computer vision, wearable sensors and biomechanical models into real-time movement intelligence for sports, rehabilitation, health, and embodied AI.
Human movement is one of the most valuable, least structured data layers in the physical world. Moro turns raw motion, vision, and sensor signals into real-time intelligence for performance, recovery, and embodied AI — the ground truth for how bodies move, train, heal, and learn.
The next decade of human and machine performance will be built on data nobody is currently capturing well. Movement is that data.
A unified sensing stack — vision, inertial, force — fused with biomechanical models calibrated to each individual baseline.
A movement intelligence layer that compounds across athletes, patients, workers, and the robots that will work alongside them.
A multi-sensor capture stack — high-frame-rate cameras, body-worn IMUs, force plates, and external systems — synchronized to a single timeline.
Sensor-fusion pipelines, 3D pose estimation, and biomechanical models translate raw signal into joint-level kinematics, kinetics, and movement quality.
Insight surfaces — coach feedback, rehab guidance, longitudinal health signals, and structured datasets for embodied agents and robotics teams.
Edge-compute cinema-grade capture rig with on-device 3D pose, calibrated for arenas, clinics, and labs.
Ultralight 9-DoF IMU pads with 1 kHz sampling, designed for skin-coupled mounting and sweat-tolerant operation.
One-handed tactile remote that tags moments, clips reps, and writes structured events into the live capture stream.
The compute core. Sensor-fusion, biomechanical inversion, and risk modeling running on-prem or in the Moro cloud.
Clinical workflow surface — protocols, ROM, symmetry, and progression tracked against patient-specific baselines.
Structured human-motion datasets and a transfer pipeline for embodied AI teams training humanoid and assistive robots.
Training-load, technique, and return-to-play decisions for federations, clubs, and combine programs.
ACL, rotator cuff, and post-op protocols quantified rep-by-rep — patient progress against personal baselines.
Gait, balance, and fall-risk monitoring at clinical scale — early intervention windows for an aging population.
Industrial ergonomics and load-bearing analysis — measuring the postures that cause injury before they cause it.
Calibrated, ground-truth motion data for humanoid and assistive robots learning to operate alongside people.
A neutral instrumentation layer for biomechanics, kinesiology, and human-factors research at university scale.
Vision, IMU, force, and contextual sources sync to a single timeline.
Sensor fusion, pose, biomechanics, and risk modeling at low latency.
The right insight, surfaced to the right operator at the right moment.
Athletes train, patients heal, workers stay safe, robots learn faster.
Outcomes feed back into structured, consented motion datasets.
Every model release lifts the floor for everyone on the platform.