GoX Labs offers an AI-powered wearable system that analyzes biomechanical and physiological data to predict and prevent workplace injuries. By monitoring factors like fatigue, hydration, and form, the system provides real-time alerts to workers and actionable insights to employers, aiming to reduce injury rates and improve operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Workplace injuries, particularly those related to overexertion, repetitive motion, slips, trips, falls, and contact/impacts, represent a significant cause of lost productivity and increased claims. Fatigue, improper form, and environmental factors contribute to these incidents, leading to substantial costs for businesses.
Solution
GoX Labs provides an AI-powered wearable system designed to predict and prevent workplace injuries by analyzing biomechanical and physiological data. The system utilizes motion pods and integrated smartwatch sensors to capture critical data points such as VO2, balance sway, cadence, and proximity to hazards. This data is processed to identify predictors of injury, including fatigue, dehydration, and poor form, allowing for real-time alerts and actionable insights. By quantifying risk factors and providing immediate feedback, GoX Labs aims to enhance worker safety, reduce injury rates, and improve overall operational efficiency. The platform also extends to health applications, offering remote cardiac rehabilitation and illness detection capabilities.
Target Audience
The primary target audience includes businesses seeking to reduce workplace injuries and improve worker wellness, such as construction companies, manufacturers, and logistics providers. Additionally, government entities, particularly military organizations, and healthcare providers offering remote patient monitoring and rehabilitation services are key customer segments.
Features
- Wearable motion pods and smartwatches for comprehensive biomechanical and physiological data acquisition.
- AI-driven analysis of VO2, balance sway, cadence, heart rate, respiration rate, and temperature to assess fatigue, dehydration, and exertion levels.
- Real-time haptic feedback alerts delivered via smartwatch to workers when risk parameters are exceeded.
- Cloud-based platform for data aggregation, analysis, and visualization of worker safety metrics.
- Predictive modeling to identify high-risk situations related to overexertion, repetitive motion, slips, trips, falls, and contact/impacts.
- Specialized modules for cardiac rehabilitation, including progress tracking and health coaching.
- Government sector application for soldier performance and protection, focusing on heat illness, musculoskeletal injury, and infectious disease detection.
- Integration capabilities with platforms like ATAK for military applications.