NEURAL NETWORK ACTIVE // V 1.0

DECODE THE
COMPLEXITY.

Bridging technical innovation and compliance. We use edge-based computer vision to analyze turf interaction, spin decay, and lie severity in real-time.

INITIALIZE_MODEL >
Neural Network Golf Ball Analysis
NODES: 4,096 LATENCY: 12ms

PREDICTED SPIN RATE

2,450 RPM

/// SYSTEM_ARCHITECTURE

PRECISION ENGINEERING

COMPUTER VISION

YOLOv8 architecture trained on a proprietary dataset of 15,000+ complex lie interactions.

EDGE COMPUTING

Zero-latency inference. The neural engine runs entirely on your device's NPU, not the cloud.

PHYSICS ENGINE

Real-time calculation of launch angle variance and spin decay based on grass density.

Johnny - Founder
ID: FOUNDER

Program Manager // Solo Founder

ENGINEERED. NOT JUST CODED.

"I am a Defense & Aerospace Program Manager by trade. I spend my days bridging technical innovation with federal compliance. I built GLA because I wanted the same level of data-driven situational awareness I use at work, applied to the most difficult shots in golf."

MBA PMP® LSSBB DEFENSE_SECTOR

REQUEST ACCESS

Validation Phase 1 is active. Access is restricted to 500 users for model training. Priority given to LiDAR-enabled iOS devices.

DATA_PROTOCOL

Local Inference

Processing occurs locally on-device. No images are uploaded to the cloud.

Zero Retention

Image data is analyzed in RAM and instantly discarded.