Technology
Built on Science
Our AI pipeline transforms standard video into deep athletic insight in real-time.
Input
Computer Vision & Pose Estimation
Our models process standard video frames to detect and track athletes in real-time. Using state-of-the-art pose estimation, we extract precise 2D joint positions at up to 60fps—even in complex multi-person scenes with occlusions.
- Markerless tracking from any camera angle
- Multi-person detection and tracking
- Works with broadcast, phone, and training footage
Pose Estimation Pipeline
Processing
3D Reconstruction & Signal Processing
2D joint positions are lifted into 3D space using our proprietary depth estimation models. Advanced signal processing algorithms then extract biomechanical metrics—angular velocity, rotational dynamics, trajectory analysis, and force estimation.
- 2D-to-3D skeletal lifting
- Biomechanical model fitting
- Sport-specific metric extraction
3D Reconstruction Engine
Delivery
Real-time Delivery & Integration
Processed data is delivered in real-time through our API and rendering pipeline. For broadcasts, graphics are generated and composited live. For athletes, insights appear instantly in the mobile app with full historical context.
- Sub-second end-to-end latency
- Standard broadcast protocol support (NDI, SDI)
- API-first architecture for custom integrations
Real-time Delivery
Recognition
Grounded in Research
Our work has been featured in leading scientific and sports publications for advancing the intersection of AI and athletic performance.
Specs
By the Numbers
60fps
Pose Detection
<1s
End-to-end Latency
33+
Body Keypoints
5+
Sports Supported