Ditch hard-coded sequences and outdated controls. E360’s rule-based engine adapts in real time, optimizing HVAC, lighting, demand response, and alerts based on your strategy, not your system’s constraints. Automate smarter. Operate sharper.
E360’s machine learning engine turns real-time data into proactive building strategies automating responses before issues hit. From energy spikes to occupancy shifts, build logic across every system and variable in one platform. No hardware retrofits. No onsite techs. Just next gen control that stays one step ahead.
Skip the tech support. Skip the outdated control panels. E360 gives you the tools to automate chillers, lighting, demand response, and alerts without waiting on premise help or legacy logic. You’re in control, right now.
Create automation rules that align with how your building actually runs hour by hour, zone by zone. With E360, you can sync controls to daily usage, trigger responses based on live data, and fine-tune performance in real time. No more manual overrides. Just one strategy, built to execute.
As office spaces and common areas fill with employees, E360 IAQ sensors detect sustained higher-than-normal PM 2.5 levels.
E360 triggers portable air purifiers and HVAC ventilation to turn on for 30 minutes within affected areas to rapidly improve air quality.
E360 thermostats read a sustained 74°F temperature over 45 minutes, 6°F higher than the desired cool setting.
Facility managers are notified via SMS that the HVAC systems in the affected zones may have a potential cooling failure.
E360 indoor air quality monitors detect higher-than-normal levels of CO2 and TVOCs over 10 minutes.
To improve IAQ levels, E360 triggers the HVAC system to increase ventilation and turn on portable air purifiers within the room.
E360 energy meters detect the office building is at 75% peak demand capacity for the day, triggering an SMS alert to facility managers.
To conserve energy, E360 triggers non-essential lights to turn off in all spaces where occupancy sensors detect no occupancy for more than 10 minutes.
As office spaces and common areas begin to clear, E360 occupancy sensors in primary co-working spaces detect the area has remained unoccupied for more than 30 minutes.
To reduce energy consumption, E360 triggers lights to dim and adjusts the HVAC system to be in “away” mode limiting run-time in unoccupied building zones.
With continued no-occupancy detected, E360 triggers to turn off non-security interior lights and activates exterior lights.
HVAC system zones are switched to their scheduled “away” mode temperature thresholds for minimal run-time overnight.
E360 energy meters detect building solar energy and renewable storage produced less than normal amounts of energy.
An in-app notification is triggered and sent to facility managers, notifying them of the decreased solar production, and the next workday may exceed the 75% peak demand capacity.
An energy optimization strategy is a systematic approach that leverages automation, AI, and data analytics to reduce energy consumption, improve efficiency, and lower operational costs in commercial buildings and facilities.
E360 analyzes real-time and historical energy data using machine learning algorithms to identify inefficiencies, predict demand, and automate adjustments that maximize energy savings without compromising performance.
A rules engine is a software system that automates decision-making by executing predefined logic-based rules. In energy management, it dynamically adjusts HVAC, lighting, and other building systems to optimize performance and reduce energy waste.
If-Then logic enables automated responses to environmental and operational conditions. For example, if a building reaches a certain temperature threshold, then HVAC systems adjust to maintain comfort while minimizing energy usage.
By leveraging predictive analytics and automated load shifting, energy optimization strategies minimize power consumption during peak hours, helping businesses avoid costly demand charges and improve overall energy efficiency.
©2025 InTech Energy, Inc. DBA Sanalife. All rights reserved. Various trademarks held by their respective owners.