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AI-driven HVAC control system for improved energy performance
At Axross, we specialize in delivering AI-driven HVAC control systems designed to enhance energy efficiency and reduce operational costs for manufacturers. Our solutions are tailored to meet the stringent requirements of industries, where maintaining precise environmental conditions is critical. With a team of experts in AI, data science, and industrial systems, Axross is committed to providing reliable, scalable solutions that help manufacturers achieve their energy efficiency goals and support sustainable practices.
Axross provides an AI-driven HVAC control solution for industrial facilities to improve energy efficiency and reduce emissions. The system integrates with existing BMS, gathers IoT data, and uses machine learning for intelligent optimization and automated controls.
The product ingests historical and real-time data from the Building Management System (BMS) and IoT sensors to create a predictive engine for forecasting cooling demand. It uses intelligent optimization and a three-layer architecture (Decision Layer, Control Layer, Equipment/IOT/Sensor Layer) to automate HVAC controls, enabling dynamic real-time adjustments and optimal sequencing of equipment while maintaining environmental requirements such as temperature, humidity, and particle counts.
Who it’s for: Industrial facilities seeking energy efficiency, sustainability goals, and improved operational reliability for their HVAC systems.
Company mentions product demo, website-driven product intro, and ongoing commercialization; no explicit funding or hiring data provided
Consultant-turned-entrepreneur. First Class Aeronautics grad. Excited about using tech to solve complex problems for the underserved in emerging markets.
Formerly “bipi” · why startups rename →
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