Axross

Founded by David Chew & Yih Lin Teh in 2021

Control HVAC systems in industrial facilities using AI to cut energy use

Cost

Demo

Rating

★ Mixed Reviews

Time to value

Requires Expertise

You can use Axross to automate and optimize HVAC systems in industrial facilities. It connects to existing Building Management Systems (BMS) to pull historical and real-time data, then uses machine learning to predict cooling demand and energy consumption. IoT sensors feed live environmental data into the system, which automatically adjusts HVAC equipment configurations to reduce energy use by up to 30% while maintaining required temperature, humidity, and air quality conditions.

What Axross does

Connect to BMS and extract historical energy and environmental dataDeploy IoT sensors across facility to monitor temperature and humidityRun machine learning models to predict future cooling demandAutomatically reconfigure HVAC equipment based on predicted loadGenerate energy consumption reports for sustainability reportingAlert operators when environmental conditions deviate from set thresholdsOptimize chiller and air handling unit sequencing in real timeConnects to existing BMS to extract historical and real-time dataUses machine learning to forecast energy consumption and cooling demandDeploys IoT sensors for live environmental monitoringAutomatically adjusts HVAC equipment sequences without manual inputTargets up to 30% reduction in HVAC energy consumptionMaintains required temperature, humidity, and particle count thresholdsReduces scope 2 greenhouse gas emissions from building operations