Digital twins create a dynamic virtual model of your entire operations by integrating live data from multiple assets (HVAC systems, motors, equipment, sensors) into a unified view.

This real-time visibility allows facility managers to monitor asset health, simulate maintenance scenarios, trace process interdependencies, and proactively address system faults across entire systems and operations. 

AI-powered models monitor and analyze sensor and equipment data in real-time to detect and alert on early warning signs of failure, replacing reactive repair cycles with targeted, condition-based service that extends asset life and boosts reliability. 

Predictive maintenance has proven to be a powerful tool across facilities, which report 30% cost reductions and 50% fewer outages.

Source: Siemens 

Commercial and industrial facilities host some of the most energy-intensive systems, including HVAC, lighting, and machinery, which often operate inefficiently due to static schedules, system incompatibility, and lack of context. 

By combining submetering with AI optimization, Keyfive enables real-time demand response, dynamic system tuning, and energy waste identification, promoting energy savings and other sustainability initiatives.  

Legacy SCADA systems, building management platforms, and third-party energy assets often fail to interoperate, creating data silos that slow operations and introduce manual workarounds. 

Keyfive’s highly integrative architecture promotes data communication across these disparate systems, providing one cohesive intelligence layer and bridging the gap between aging infrastructure and smart facility transformation without vendor lock-in. 

Learn more about Keyfive Strata. 

Most facilities underestimate the long-term operational cost of their equipment—75–80% of asset costs come after the initial purchase.  

Keyfive tracks performance over time, highlighting inefficiencies, degradation patterns, and replacement needs—so capital investments are timed and targeted for maximum ROI.