Touwi provides AI-driven software that enables real-time monitoring of motion analysis for health, sports, and industrial applications. By processing data directly within sensors, the solution enhances preventive maintenance and health monitoring while ensuring data security and reducing reliance on cloud services.
Funding
Funding not disclosed
Founders
Product
Problem
Many industries and healthcare providers lack efficient, real-time monitoring solutions for motion analysis, hindering preventive maintenance and proactive health management. Traditional cloud-based systems can be costly, insecure, and require extensive data transfer, creating barriers to adoption.
Solution
Touwi offers an AI-driven software solution that enables real-time motion analysis directly within sensors, addressing the need for efficient and secure monitoring in health, sports, and industrial sectors. By processing data locally, the solution minimizes reliance on cloud services, reduces costs, and enhances data security. Touwi's technology facilitates preventive maintenance by detecting anomalies in industrial equipment and supports proactive health monitoring through analysis of human movement. The system provides actionable insights through a user-friendly interface, allowing for timely interventions and improved outcomes. Touwi's edge-based processing ensures data sovereignty and reduces carbon footprint by minimizing data transfer.
Target Audience
Touwi targets industries seeking predictive maintenance solutions and healthcare providers aiming to improve patient monitoring and fall prevention.
Features
- Real-time motion analysis using embedded AI algorithms within sensors
- No-cloud architecture for enhanced data security and reduced latency
- All-in-one solution with integrated hardware and software components
- User interface for accessing key information and basic analyses
- Customizable AI models for tailored solutions
- Support for both industrial and healthcare applications
- Wireless communication protocols for seamless integration with existing systems