Traditional facility operations often face challenges such as data silos, delayed response, inefficient equipment usage, high energy consumption, and elevated maintenance costs, resulting in high operational costs and increased environmental impact. This AI-powered smart infrastructure platform addresses these challenges by transforming how buildings monitor, manage, and optimise energy use.
Leveraging the Internet of Things (IoT), big data analytics, and artificial intelligence, the platform continuously captures multi-dimensional, real-time data across electricity, water, spatial usage, occupancy, and environmental conditions. Advanced AI models then analyse energy consumption patterns, forecast demand, and detect potential equipment faults before they occur. By enabling cross-system coordination and automated control (e.g., HVAC, lighting and security systems), this solution offers a unified digital ecosystem that optimises energy usage dynamically holistically and improving overall operational efficiency. This enables building owners and facility management companies to transition towards more sustainable, data-driven operations while enhancing asset performance and long-term cost savings.
Designed for scalability and real-world deployment, this solution enables adopters to reduce operational costs while advancing their sustainability goals. The technology owner is currently seeking test-bedding opportunities with organisations in Singapore managing large-scale infrastructure such as hospitals, hotels, industrial parks, and commercial complexes.
The platform is built on a cloud-native microservices architecture, supporting hybrid multi-cloud and edge deployment.
Key features include:
- AI-based predictive maintenance and energy efficiency diagnostics, reducing equipment downtime, extending asset lifespan, and minimising unnecessary energy consumption
- Offers real-time collection and integration of energy data across electricity, water, and spatial systems, and provides seamless interoperability with third-party systems via open APIs
- Provides real-time monitoring, dynamic optimisation strategies and energy savings forecasting, allowing operators to identify inefficiencies and proactively manage energy consumption
- Has an energy intelligence suite with visual workflow orchestration tool for low-code configuration of cross-system coordination, such as integrated control of cooling, heating, and power systems to optimise energy use holistically
By consolidating operational data and control logic, the platform creates a unified digital environment that supports data-driven decision-making, improves resource efficiency, and enables organisations to achieve their sustainability and decarbonisation objectives.
["Building Operations Platform","Predictive Maintainence","Energy Optimization","Intelligent Facility Management","Data Fusion","sustainability","energy savings","green buildings","smart facilities","data integration","IoT","AI"]