Simulation And Modelling Digital tools and platforms that use data inputs, statistical models, ML algorithms, physics-based simulation engines or digital twin infrastructure – individually or in combination – to represent, predict or optimize the energy performance of buildings, supporting decisions across the full building life cycle, from design and retrofit planning to operational management and long-term scenario analysis.
12 solutions tracked
A unified digital platform for energy management, power optimization, and real-time insights across industrial and building systems
A specialized application that monitors, analyzes, and optimizes energy consumption across entire building portfolios. It provides real-time visibility into energy costs and carbon emissions, uses machine learning for anomaly detection, and is ISO 50001 compliant to support formal energy management systems.
Full-stack analytics EMS with predictive decarbonization planning, invoice automation and live carbon tracking.
Gazebo is Cascade Energy’s energy‑management platform that tracks facility performance, identifies efficiency opportunit
A cloud-based, closed-loop machine learning solution that autonomously adjusts HVAC setpoints based on real-time weather and occupancy data. It operates as a "plug-and-play" system that connects to any BMS to drive double-digit energy savings without manual intervention.
Noda Building is an AI-powered solution that integrates IT and OT systems to produce a real-time digital twin of a build