ETG ECO AI is a groundbreaking technology enabling large buildings — residential, commercial and industrial — to save up to 30% on HVAC energy costs while reducing carbon emissions by up to 40%. This page walks through the full solution: the edge device, the AI engine, the dashboard, our certifications and how a rollout unfolds.
ETG ECO AI harnesses artificial intelligence, deep machine learning and EDGE computing to make data-driven decisions and proactively optimize energy efficiency in commercial, industrial and residential buildings. Because HVAC systems account for over 40% of total building energy consumption, that's exactly where we focus.
Our solution acquires data and learns patterns to make future-based predictions and optimize HVAC parameters — taking a proactive approach rather than the reactive one traditional BMS platforms rely on. It modulates fan speeds, valve positioning and airflow, and adheres to ASHRAE-55 guidelines to keep occupants comfortable while it works.
The device senses live conditions, our models learn the patterns, and the system optimizes autonomously — continuously adapting to occupancy, weather and your own preferences.
The edge device reads live zone conditions, setpoints and equipment status straight from the BMS via BACnet, RS485 or RS232.
Machine learning models continuously analyze usage patterns alongside external data — time of day, return & outside air temperature, and occupancy.
The system makes autonomous, data-centric adjustments to setpoints and valves that cut waste without compromising comfort.
Powered by Jetson Xavier NX — built for interoperability, autonomy and energy-efficient edge computing. Sized like a small laptop, it connects directly to any BACnet-enabled BMS.
The world's smallest AI supercomputer: NVIDIA Jetson Xavier NX
BACnet, serial communication via RS485/RS232
USB, Ethernet, HDMI, DIO, COM/CANBUS
Siemens, Honeywell, Johnson Controls, Schneider, ALC, Azbil
EDGE computing that produces just 74.46 kg CO₂e per year
Zone conditions, setpoints, future predictions, energy savings
Carbon Emissions Reduction. By continuously learning from building and weather data, our smart solution optimizes BMS parameters to reduce energy consumption while maintaining performance — and less reliance on fossil-fuel-based energy means fewer emissions.
Lower Energy Costs. By analyzing outdoor weather, occupancy levels and system efficiency, our algorithms identify and eliminate waste such as overcooling and overheating, with fan speed adjustments in AHUs and FCUs for additional savings.
Elevated Comfort. Adhering to ASHRAE guidelines and cooling zones based on occupancy, weather and humidity enhances occupant comfort and reduces complaints.
Improved Equipment Efficiency. Advanced fault detection and analysis alerts your team promptly, enabling proactive maintenance that minimizes downtime and prolongs equipment lifespan.
Our device is globally certified for safety and electromagnetic compliance, and ETG ECO AI is a SOC 2-certified company — a stringent cybersecurity compliance framework established by the AICPA.
Achieving SOC 2 certification marks a significant milestone in our commitment to security and trust, highlighting our dedication to safeguarding client data — ensuring it's stored, processed and managed with the utmost security.
This gives our partners confidence and peace of mind that their information, and their building's data, is in safe hands.
Our interactive dashboard gives clients a comprehensive energy management overview and shows the real impact of our solution on reducing energy consumption and carbon emissions.
Clients can see total electricity savings, total gas savings, total cost savings, total carbon emissions, avoided carbon emissions and comfort achieved — then generate energy reports to showcase cost savings and carbon reduction over any period.
Carbon emissions down. Energy costs down. Comfort up. Equipment reliability up. Everything else in the product exists to serve these four outcomes.
Continuous learning from building and weather data optimizes BMS parameters, cutting reliance on fossil-fuel-based energy and directly reducing emissions.
Our algorithms identify and eliminate energy waste like overcooling and overheating, adjusting fan speeds in AHUs and FCUs for additional savings.
ASHRAE-guided, occupancy-based zone cooling that also factors in weather and humidity — reducing complaints and improving satisfaction.
Advanced fault detection enables timely repairs, boosting equipment efficiency, minimizing downtime and prolonging system lifespan.
From first data collection to a fully autonomous building, here's what the typical deployment timeline looks like.
Data collection, technical assessment and device installation.
Building patterns analysis and baseline model creation.
Machine learning initiates and data points are collected.
AI advancement and improved building automation.
Reaches peak savings and carbon reduction.
Our team handles the technical assessment, device installation, proof of concept and monthly site visits. To get a proposal moving, we'll ask for a few things up front:
We're an authorized representative of Automated Logic (ALC), a Carrier Global Corporation subsidiary, in Saudi Arabia and the UAE — and we're part of the Amazon Partner Network, delivering AI for HVAC within Amazon's Smart Cities initiative.
Pricing covers the hardware, EDGE computing and data costs, logistics and shipping, plus our team's continuous technological advancement and the on-site work required for assessments, installation, proof of concept and monthly visits. One-time device cost and annual maintenance are quoted per project.
Let's bring AI-driven energy efficiency to your buildings — wherever you are in the region.
Get In TouchHouston , Texas , USA
+1 346 481 7007
info@etgecogreen.com
www.etgecogreen.com