WaveEco
At the heart of WaveEco are digital twins, virtual replicas of physical assets that enable real-time monitoring, predictive maintenance, resource allocation, and performance optimization. These capabilities ensure operations are not only efficient but also sustainable.
Complementing this is the AI Agentic Workflow, a cutting-edge solution that utilizes advanced algorithms to analyze vast datasets and uncover actionable insights. Together, these technologies empower organizations to make informed decisions, reduce operational costs, enhance energy efficiency, and minimize environmental impact.
Features
Customised Features Meet All Your Business Needs
Carbon Footprint Monitoring
Aggregates and analyzes data from multiple to calculate real-time carbon emissions.​
Increases accuracy of carbon footprint reporting by 95%, ensuring alignment with sustainability goals.
Digital Twin Simulation for Temperature Control
Creates a dynamic virtual model of facilities to simulate temperature variations under different scenarios and predict energy consumption patterns.​
Saving operational costs while meeting green standards.
Energy Efficiency Optimization
Generates actionable recommendations to optimize energy utilization, such as task scheduling and load balancing.
Lowers energy consumption by 15-25%, significantly cutting utility bills.
