An AI-driven platform for optimizing HVAC and refrigeration in industrial settings, providing real-time monitoring and control that reduces energy costs, lowers emissions, and extends equipment life.
15-20%
of global energy consumption is due to refrigeration systems
Industrial refrigeration and HVAC systems consume vast amounts of energy, contributing to high operational costs and significant greenhouse gas emissions.
These systems operate under fixed settings that fail to adapt to fluctuating demand and environmental conditions, leading to energy waste, inefficiencies, and excessive maintenance costs. The refrigeration sector alone accounts for 15-20% of global electricity consumption, making energy optimization a critical challenge.
Articae's AI-powered SaaS platform optimizes energy consumption by integrating machine learning, real-time monitoring, and adaptive control algorithms.
The solution enables dynamic system adjustments, improving energy efficiency by up to 25% and reducing operational costs by up to 30%.
+14%
average improvement in energy performance
Articae’s solution collects, analyzes, and optimizes existing HVAC technologies through an AI interface to reach operational efficiency. By leveraging the technology, there is a lower need for maintenance, leading to cost and emission savings.
The refrigeration systems exhibit higher consistency, this stability ensures the reliability of the systems while contributing to reducing GHG emissions and refrigerant pollution associated with operations.
With the improvement of energy performance - around 14% - and the lifetime extension of refrigeration systems, customers can save energy and reduce costs. Articae's solution reduces greenhouse gasses, addressing direct emissions from refrigerant leaks and indirect emissions from electricity consumption
Sandbox Program
Batch #4
HQ Country
Spain
Area
Energy Efficiency
Industry
HVAC & Refrigeration Equipment Manufacturing
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