MOVEMENT IS FUNDAMENTAL TO HUMANS, ANIMALS, AND MACHINES
Woman's arm wearing a smartwatch with motion sensing capability
Baseball pitcher releasing a fastball, mechanics tracked by wearable motion sensors
Older dog wearing a thick smart collar with motion sensors
Humanoid robot that needs balance intelligence
What if…

Her watch could flag early signs of Parkinson’s, years sooner?

The signs are already in her data, years early. xMotion turns them into a signal her watch can act on.

Motion data has been available for years.3D movement understanding has not.

0 smart devices understand
2D MOVEMENT
0 understand
3D MOVEMENT
2D movement is counts and labels. Steps, minutes, activity type. It tells you that something moved, and how much. It doesn’t tell you how the body actually moved.
3D movement is structure. Direction, rotation, orientation, and quality, resolved as movement primitives. It tells you how the body actually moved, in real time.

xMotion structures inertial sensor data into 3D movement that smart devices can understand.Patented, and the first method to turn raw inertial sensor data into structured 3D movement. That structured method trains a proprietary motion model that Physical AI applications and World Models draw on.

How It Works

Step 1
Raw inertial sensor data A continuous stream from the motion sensors already on board. Dense, noisy, and unstructured.
Step 2 · xMotion
The xMotion layer Structures the raw stream into 3D movement primitives that train a proprietary motion model.
Step 3
The partner application Draws on the motion model to build the outcome. xMotion supplies the intelligence. The partner builds the product.

Example. Max’s collar already includes a motion sensor. xMotion turns its raw stream into structured gait primitives. The collar maker’s application reads the primitives as a developing asymmetry and flags it weeks before the limp is visible to anyone.

No new hardwarefor billions of existing devices
Software onlyships as an update
US PatentedActivity Engine core

What’s possible with xMotion

01·Smartwatches & Fitness Bands Woman's wrist wearing a smartwatch capable of gait analysis Margaret, 58.

Parkinson’s signs surfaced years earlier

She’s worn it for three years. It never saw what mattered.

With xMotion
  • Her wearable continuously monitors the micro-movement signatures her doctor needs.
  • Early gait changes surface years before diagnosis.
  • A diagnosis that once required a specialist can begin with data she’s already generating.
02·Smartwatches & Fitness Bands Baseball pitcher at the moment of maximum torque, front leg planted and throwing arm cocked back Every athlete, from youth and student athletes to the pros

Perform better. Get hurt less. Recover faster.

Every micro-movement tells a hidden story. Cameras miss the fine details.

With xMotion
  • Performance improvement: the athlete now has a microscope to quantify movement in real time revealing never-before-seen nuances that can be targeted and enhanced.
  • Injury reduction & prevention: fatigue-driven movement drift and compensation patterns surface in real time, so athletes and coaches can act before they add up.
  • Injury recovery: return-to-play measured against the athlete’s own pre-injury movement baseline. Not estimated, measured.
03·Smartwatches & Fitness Bands Woman sleeping at home during a wearable-based sleep study Nearly 1 billion adults have sleep apnea alone.1

Sleep disorder screening at home

The gold standard of sleep diagnosis requires video capture.

With xMotion
  • A dispensed band captures body position and limb movement signatures with lab-grade precision.
  • Periodic limb movements, present in up to 80% of people with restless legs syndrome,2 become measurable across multiple nights.
  • With a multi-night movement and activity profile, clinicians now have a complete sleep disorder analysis.

1. Benjafield AV, et al. Lancet Respiratory Medicine, 2019. Global OSA prevalence.   2. Sleep Foundation; clinical polysomnography studies on RLS/PLMS co-occurrence.

04·Smartwatches & Fitness Bands Elderly man walking alone and unassisted, at risk of falls Walter, 79. Lives alone.

Falls foreseen early. Instantly flagged when they happen.

Early warning before a fall. Instantly flagged the moment one happens.

With xMotion
  • Gait and balance shifts surface early, flagging rising fall risk while there is still time to intervene.
  • The wearable can flag a fall from the movement signal itself, the instant it happens, not after a hard-impact spike confirms it after the fact.
  • The connected app alerts go out in seconds, not having to wait for confirmation.
05·Smartwatches & Fitness Bands Elderly patient at home on a telehealth consultation with her doctor Eleanor, 72. Remotely monitored at home.

Fewer trips to the doctor’s office

Gait quality and movement metrics collected at home.

With xMotion
  • A continuous movement quality baseline is collected: gait symmetry, postural stability, compensation patterns.
  • Clinicians get an earlier window to intervene.
  • Longevity, RPM, and concierge programs finally have the data dimension they’ve been missing.
06·Smart Pet Collars Older dog wearing a thick smart collar with motion sensors Max, 9. Beloved family member.

Injury or abnormal activity flagged before the owner can see it

Max can’t tell you what’s wrong but gait and movement analysis can.

With xMotion
  • Movement is baselined from day one. Gait changes and compensation patterns become measurable and flagged immediately.
  • Osteoarthritis shows up in the data long before it’s visible: a limp in dogs, a drop in jump height or reluctance to climb in cats.
  • The vet sees a structured trend across weeks of real life, not a pet who looks fine on the table.
07·Humanoid Robots Humanoid robot whose balance depends on reading its own movement from inertial sensors

Balance is still the hard problem.

When you stumble, your inner ear catches it before you’re aware of it.

Humanoid robots carry motion sensors meant to play the same role, yet falls are still a real risk. A falling robot can damage itself, the equipment around it, and the people nearby.

With xMotion
  • Balance that reads the robot’s own movement in real time, from the motion sensors already on board
  • Instability caught early, before it becomes a fall
  • Fall prevention learned from how human bodies catch themselves, at a level of detail cameras can’t see
  • Robots that grow more stable with each operating hour
08·Industrial Machines & Robotic Equipment Factory production machinery monitored by vibration and motion sensors A factory floor. Any factory floor.

Failure & deviation warnings reach the floor immediately

The plant’s monitoring system catches micro-movement deviation in real time, dramatically increasing efficiency.

With xMotion
  • Each machine builds a baseline of its own normal motion and flags deviation early.
  • Fewer surprise breakdowns, more scheduled maintenance.

Wearables. Humanoid Robots. Industrial Machines. Autonomous Vehicles.

A few of the verticals ahead. The sensors are already shipping in billions of devices, so the companies that move first have the best shot at owning their categories.

The window to be first is open now.