Think of a large office building as a living body. In the past, the heating, cooling and lighting were like organs running on fixed schedules, whether people were there or not. AI turns the building into a “smart body” that can sense where people actually are, how hot or cold it is, what energy costs right now, and then automatically adjusts everything in real time to stay comfortable while using far less energy.
Commercial and residential buildings waste a large share of their energy because systems run on static rules, disconnected from real occupancy, weather and tariffs. Facility teams are overloaded and can’t manually optimise thousands of setpoints across HVAC, lighting and other subsystems. This AI approach reduces energy use, emissions and operating cost while maintaining comfort and regulatory compliance.
Access to large fleets of building management systems and historical operations data; deep integration with Schneider Electric’s legacy controls hardware and software; long-standing customer relationships in energy and buildings; domain-specific optimisation know‑how (comfort vs. energy vs. equipment health) encoded into models and control strategies.
Hybrid
Vector Search
High (Custom Models/Infra)
Integration effort with heterogeneous legacy building management systems and field devices; ensuring reliable, low-latency control decisions without compromising safety or comfort across many geographically distributed sites.
Early Majority
Positioned as an end‑to‑end, energy-and-sustainability‑centric building AI layer that plugs into existing Schneider Electric infrastructure, combining traditional control expertise with data-driven optimisation and AI-driven insights rather than offering only analytics or only hardware controls in isolation.