Sensing
Proprietary nano-composite pressure sensors, 6-axis IMU, impact detection. Real-time multimodal data capture at the human-tool interface.
Edge AI
On-device inference — zero setup, zero external hardware. Swing DNA profiling from just 10 swings. Real-time pattern recognition.
Motion-to-Language
Proprietary engine converting raw motion data into natural language coaching. Personalized, adaptive feedback via conversational AI.
Data Platform
Continuous human-tool interaction data at scale. Every swing makes the AI smarter — the Swing DNA Flywheel.
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Sensing
Proprietary nano-composite pressure sensors, 6-axis IMU, impact detection. Real-time multimodal data capture at the human-tool interface.
Edge AI
On-device inference — zero setup, zero external hardware. Swing DNA profiling from just 10 swings. Real-time pattern recognition.
Motion-to-Language
Proprietary engine converting raw motion data into natural language coaching. Personalized, adaptive feedback via conversational AI.
Data Platform
Continuous human-tool interaction data at scale. Every swing makes the AI smarter — the Swing DNA Flywheel.
Grip Pressure as a Predictor of Swing Performance
Quantitative analysis of grip pressure distribution patterns and their correlation with swing outcomes. Based on data from thousands of swings collected through G·GRIP's multimodal sensor suite.
Motion-to-Language: Converting Sensor Data to Natural Coaching
How our proprietary engine translates raw multimodal motion data into personalized, natural language coaching — bridging the gap between physics and human understanding.
15+ Patents Across 4 Technology Domains
Comprehensive IP protection spanning sensor technology, AI algorithms, hardware design, and data processing — filed across Korea, the United States, Japan, and PCT international.
Human-Tool Interaction Data at Scale
The first commercially-collected dataset of grip pressure, force transfer, and motor control patterns from real-world human-tool interactions. A foundational asset for Physical AI.
25 Years of Domain Truth
The founder didn't find this problem in a market report. He lived it for 25 years — teaching thousands of golfers, feeling the limits of instruction every single day. This depth of domain expertise cannot be replicated.
The Perfect Sensor Platform
A golf club is a rod-shaped tool with a standardized grip — the ideal form factor for embedded pressure sensors. The swing is repeatable, high-value, and data-rich with every repetition.
A Premium Market That Spends
66 million golfers worldwide. Average equipment spend of $500–2,000/year. Private lessons at $50–200/hour. A market that actively pays for improvement — with zero access to cause-level data until now.
Golf Proves,
Data Expands
Every G·GRIP sold generates human-tool interaction data that no one else has. Grip pressure patterns, force timing, control sequences — this data becomes the foundation for expanding to every tool domain.
The intelligent golf club
AI golf club that talks
Regrip: Smart grip for any club you own
CES Innovation Award
G·GRIP Pro honored in Sports & Fitness. Second consecutive year at the world's premier technology showcase.
CES Innovation Award
G·GRIP recognized in both Fitness and Sports categories. SGLAB's debut on the global stage.
Best Inventions 2025
Selected as a Special Mention among the year's most impactful innovations by TIME Magazine.
Grip Pressure as a Predictor of Swing Performance
Quantitative analysis of grip pressure distribution patterns and their correlation with swing outcomes. Based on data from thousands of swings collected through G·GRIP's multimodal sensor suite.
Motion-to-Language: Converting Sensor Data to Natural Coaching
How our proprietary engine translates raw multimodal motion data into personalized, natural language coaching — bridging the gap between physics and human understanding.
15+ Patents Across 4 Technology Domains
Comprehensive IP protection spanning sensor technology, AI algorithms, hardware design, and data processing — filed across Korea, the United States, Japan, and PCT international.
Human-Tool Interaction Data at Scale
The first commercially-collected dataset of grip pressure, force transfer, and motor control patterns from real-world human-tool interactions. A foundational asset for Physical AI.
25 Years of Domain Truth
The founder didn't find this problem in a market report. He lived it for 25 years — teaching thousands of golfers, feeling the limits of instruction every single day. This depth of domain expertise cannot be replicated.
The Perfect Sensor Platform
A golf club is a rod-shaped tool with a standardized grip — the ideal form factor for embedded pressure sensors. The swing is repeatable, high-value, and data-rich with every repetition.
A Premium Market That Spends
66 million golfers worldwide. Average equipment spend of $500–2,000/year. Private lessons at $50–200/hour. A market that actively pays for improvement — with zero access to cause-level data until now.
Golf Proves, Data Expands
Every G·GRIP sold generates human-tool interaction data that no one else has. Grip pressure patterns, force timing, control sequences — this data becomes the foundation for expanding to every tool domain.
The intelligent golf club
AI golf club that talks
Regrip: Smart grip for any club you own
CES Innovation Award
G·GRIP Pro honored in Sports & Fitness. Second consecutive year at the world's premier technology showcase.
CES Innovation Award
G·GRIP Pro honored in Sports & Fitness. Second consecutive year at the world's premier technology showcase.
Best Inventions 2025
Selected as a Special Mention among the year's most impactful innovations by TIME Magazine.
Eddie Cho
PGA Class A Professional. 25 years of golf instruction experience. Identified the core problem and founded SGLAB to solve it.
Natalie Kim
Strategic partnerships, business development, and international market expansion across US, Japan, and Europe.
Ryan Hwang
Embedded AI systems, sensor integration, and on-device inference architecture. Leading the core technology stack.
Daniel Kang
Product design, user experience, and the bridge between sensor data and actionable coaching insights.
Eddie Cho
PGA Class A Professional. 25 years of golf instruction experience. Identified the core problem and founded SGLAB to solve it.
Natalie Kim
Strategic partnerships, business development, and international market expansion across US, Japan, and Europe.
Ryan Hwang
Embedded AI systems, sensor integration, and on-device inference architecture. Leading the core technology stack.
Daniel Kang
Product design, user experience, and the bridge between sensor data and actionable coaching insights.
AI & Machine Learning
SGLAB Inc.
1714 STX W-Tower, 90 Gyeonginro 53gil, Gurogu, Seoul, Korea
15-6 Shincheonseoro 72-beongil, Seogwipo, Jeju, Korea
COPYRIGHT(C) 2024 Sglab. ALL RIGHT RESERVED.
