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Sensibo Incorporates an Advanced AI Assistant Into Smart HVAC

Sensibo Incorporates an Advanced AI Assistant Into Smart HVAC

Sensibo announces the launch of an AI Assistant, powered by OpenAI’s ChatGPT, into Sensibo’s smart heating and cooling products. 

The AI Assistant understands complex requests from the users and reacts to their intentions. Instead of the simple commands that were introduced with traditional voice assistants like Alexa, the new AI assistant engages with the user and reacts: from the simple command “I’m cold” (that will results in the AI assistant turning on heating in desired temperature) to the more complex conversation that sets schedules based on the weather and energy considerations. This functionality empowers Sensibo users to further conserve energy and integrate ChatGPT’s capabilities seamlessly into their everyday heating and cooling routines and further enhance the Sensibo user experience. 

The Sensibo AI Assistant is powered by Large Language Model (LLMs), representing a significant leap in smart home technology. This advanced system allows users to issue commands to the Sensibo cloud, enabling it to control HVAC devices within their premises. The integration of LLM into Sensibo’s AI assistant means that it can not only understand and process user requests but also take direct actions with connected HVAC systems, offering a more interactive and efficient way to manage climate environments.  

Sensibo empowers users to manage their heating and cooling devices through the integration of AI, data analysis, and advanced sensors. Traditional heating and cooling devices are inefficient, consuming a substantial amount of energy. As heating and cooling devices account for a significant 25% of global energy consumption and are major contributors to CO2 emissions, Sensibo’s technology becomes crucial. Through the implementation of the AI Assistant, Sensibo’s innovative technology has the potential to achieve energy savings exceeding 40%, thereby significantly optimizing AC performance and reducing overall energy bills. 

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