Your privateAI coach,in your pocket.

Sports Egg helps you understand your golf swing and know what to adjust next.

Sees your full swing in 3D
No calibration, just place and play
Real-time feedback in under 3 seconds
Golf first, more sports to come

What is Sports Egg?

Sports Egg combines an egg-shaped dual-camera device, motion AI, and a progressive curriculum. It reads your swing, explains what’s off, and gives you one change to test next.

An egg-shaped dual camera that sees body and club movement

Sports Egg beside a golf practice area with a movement-analysis display.

Dual RGB

See it. Full-body 3D pose capture, with zero wearable sensors

Motion AI that explains what’s off in your movement

A progressive curriculum so you know what to practice next

Coach it. One clear change, ready for the next swing

Coaching dashboard on a laptop beside a phone showing a Sports Egg training path.

Technology

Three AI engines

PoseCore™

Real-time 3D pose estimation from RGB cameras, adapting across body types and movement styles.

AthleteIQ™

Graph neural networks plus anatomy-aware constraints interpret the biomechanics behind a movement and pinpoint the meaningful error.

CoachAgent™

A sports knowledge base and persistent memory generate outcome-oriented voice coaching—focused on whether the movement improves the result.

3D mesh golfer mid-swing with bright lime pose, club, and body rotation trajectories.

Research background

From movement research to real-time coaching.

Sports Egg brings together visual perception, temporal modeling, and biomechanics to understand movement and turn research into practical coaching feedback.

Sports Egg movement reports displayed beside the device, showing research-led motion analysis.

Research paper figure showing a neural network architecture.

Research paper figure showing temporal relation learning.

Research paper figure showing motion feature distributions.

Motion capture examples with human body meshes across sports.

Motion capture laboratory with an athlete, cameras, and researchers studying movement.

Start without complicated calibration

Calibration-free 3D reconstruction helps the system read your movement without making setup the first part of practice.

0.81 px reprojection error

Feedback that keeps pace with practice

Lightweight inference helps movement analysis happen within the flow of practice, so feedback can return before the next attempt.

147 ms inference

Designed to understand different users

Cross-user generalization is designed to reduce the need for complex individual setup when a new athlete starts training.

<1.5% accuracy drop for new users

Beyond visible form

Biomechanics-informed analysis looks at relationships between movements, creating a foundation for feedback that explains more than what moved.

1.52° forearm-twist MAE · R² = 0.965

1 / 6

How it works

From signal
to next step.

01 / SENSE

Read the movement.

Dual cameras read your full swing at 60 FPS — no wearables, no calibration.

02 / UNDERSTAND

Find the pattern.

Anatomy-aware AI pinpoints the true root cause of the error, not just what moved.

03 / GUIDE

Give one cue.

One clear, spoken adjustment — delivered before your next shot, every time.

04 / IMPROVE

Keep the loop going.

Every swing re-enters the loop. Your training record builds with every session.

From signal to coaching cue in under three seconds — every swing.

Future platform

From sports coach to an AI coaching platform for every movement.

Every sport deserves a serious approach. We learn from real coaches and training data to understand each movement in depth—not just offer generic guidance.