Integrated Platform for Smart Coating Management
Our platform combines digital intelligence with material science to optimize every stage of TiO₂-based coating application. From project input to predictive maintenance, the system ensures precision, efficiency, and sustainability in façade performance.
Project Input
Collects essential architectural and environmental data to define project parameters.
Python Algorithm Analysis
Processes data through predictive algorithms to evaluate coating performance and degradation.
Predictive Maintenance
Identifies potential maintenance needs before issues arise, reducing costs and downtime.
Sensor Data Monitoring
Continuously gathers real-time information on temperature, humidity, and UV exposure.
Coating Recommendation
Suggests the ideal TiO₂ concentration and composition for each façade type.
Performance Tracking
Monitors long-term efficiency and environmental impact of applied coatings.
Application Workflow
Guides professionals step-by-step through preparation, mixing, and application best practices.