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Southeast Asia Innovation Landscape 2026
ESG Data-as-a-Service (DaaS) A game-changer for resource-constrained SMEs
1. Technology overview
Grid Edge uses artificial intelligence technology to predict, optimize and control the energy profile, unlocking the potential to become active and intelligent participants in the energy system. The company offers hybrid deep learning and artificial neural network methods. They provide cloud-based software services that work in harmony with building energy management systems.
2. Highlighted features & specifications
Edge2XA
Software platform that integrates with existing building management systems to provide data-driven insights for reducing energy costs and carbon emissions
Flex2XA
Predictive AI technology that helps manage energy demand by shifting usage to lower-cost and lower-carbon times, optimizing energy strategies without compromising comfort
VIGIL
AI control system for managing Vehicle-to-Grid (V2G) systems and electrical networks, enabling dynamic control of EV and BMS energy assets as a unified system
GreenSCIES
AI-led project to develop a low-carbon smart energy grid in central London and the West Midlands, utilizing waste heat from various sources to provide sustainable energy solutions
