Deep Energy AI is a cloud-based, SaaS, and secure facility energy management & monitoring-based commissioning (MBCx) software designed to optimize HVAC systems in real time for maximum impact on energy consumption, carbon footprint, and occupant comfort. Utilizing deep learning algorithms and cloud-based computing, the platform's "virtual engineer" autonomously optimizes existing HVAC systems, providing ongoing and continuous improvement of the building’s energy efficiency over time. Founded in 2016 and headquartered in the United States, Deep Energy AI aims to revolutionize the Cloud Infrastructure industry with its advanced AI and Automated Fault Detection (AFDD) technology.
Although there is no record of the last investment or investors at present, Deep Energy AI stands out as a promising player in the growing field of building energy optimization and management. With its innovative approach to leveraging AI for energy efficiency, the company has the potential to attract interest from venture capitalists seeking opportunities in the sustainable energy sector. Investors may find the unique value proposition and potential for scalable impact on energy consumption and carbon footprint compelling, making Deep Energy AI a noteworthy candidate for future investment consideration.
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