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Enterprise Layer Intelligence
Categories/IoT & Connected Hardware/Axross
Axross

Axross

Founded by David Chew & Yih Lin Teh in 2021

Automate industrial HVAC controls to reduce facility energy consumption

Pricing model

Demo

Rating

★ Mixed Reviews

Time to value

Requires Expertise

You can use Axross to automate and control industrial HVAC systems to cut down on energy use and lower carbon emissions. It integrates directly with existing Building Management Systems to pull historical and real-time operational data. By deploying IoT sensors across your facility, Axross tracks ambient environmental factors like temperature and humidity. It then applies machine learning models to forecast cooling demands and continuously adjust equipment sequencing, helping maintain required environmental standards while reducing utility costs.

What Axross does

Connect to existing BMS hardware to extract operational dataDeploy IoT sensors to collect ambient environmental metricsForecast facility cooling demand using historical performance dataAutomate equipment sequencing for chillers and ventilation unitsTrack real-time temperature, humidity, and particle levelsAdjust cooling output dynamically to prevent energy wasteMonitor facility-wide Scope 2 greenhouse gas emissionsPredictive forecasting engine for energy consumption and cooling demandDirect integration with existing Building Management SystemsIoT sensor monitoring for temperature, humidity, and particle countsAutomated sequencing and dynamic configuration of HVAC equipmentMachine learning control layer for energy reductionContinuous real-time environment stabilization for manufacturing facilities

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

Building Management Systems (BMS), BACnet Protocol, Modbus Protocol, MQTT for IoT, Honeywell Controllers, Siemens Desigo, Schneider Electric EcoStruxure, Johnson Controls Metasys, AWS IoT Core

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Axross, HVAC controls, building management system, BMS integration, industrial energy efficiency, cooling demand forecasting, IoT sensors, climate automation, temperature control, humidity control, carbon emission reduction