CEO, Brainbox AI
CBDO, Brainbox AI
CTO, Brainbox AI
More than ever, the power of AI is becoming available to businesses and innovators everywhere as a tool in addressing some of the world’s biggest challenges. Factors such as the declining cost of cloud computing, the improved accessibility of development resources, and the rapidly-increasing number of university graduates focused on AI are driving nimble product development and major technological advancements. For start-ups such as BrainBox AI, this innovation ecosystem has allowed it to introduce autonomous AI into commercial buildings to significantly reduce their energy consumption and carbon footprint.
Could AI-driven autonomous buildings play a critical role in our ability to slow down climate change? For BrainBox AI, the answer is an unequivocal yes.
Forget the autonomous car, it’s all about the autonomous building
It’s expected that 10 million self-driving cars will be on the road in the U.S. alone by 2020. And yet, just as the transportation industry is evolving dramatically, other aspects of our day-to-day experience remain relatively unchanged. Despite the fact the buildings are one of the top climate change contributors, we haven’t seen revolutionary innovation in the real estate sector since the invention of the thermostat about 130 years ago. Could AI-driven autonomous buildings, whether in retail, hotels, schools, or office buildings, play a critical role in our ability to slow down climate change? For BrainBox AI, the answer is an unequivocal yes.
The impact of AI-enabled technologies
BrainBox AI uses deep learning, cloud-based computing, and a proprietary process to support a 24/7 self-operating building HVAC (heating, ventilation, and air conditioning) system that requires no human intervention and enables maximum energy efficiency. BrainBox AI’s technology moves buildings from being reactive to pre-emptive in the management of their HVAC systems, with a plug-and-play solution that connects directly to a building regardless of the HVAC system brand, the building size, or the daily operating schedule. To date, BrainBox AI has demonstrated its ability to generate a 25%–35% reduction in total energy costs in less than three months, improve occupant comfort by 60%, and decrease the carbon footprint of buildings by 20%–40%.