Introducing our newest frient: the Self-Cleaning Smart Sofa
Have you ever wished your sofa could clean itself after a cozy movie night with popcorn, soda, and plenty of snacks?
Now it's possible with the latest in smart home technology – the new Self-Cleaning Smart Sofa from frient.
We have combined sophisticated sensors and AI-powered technology to create a comfortable sofa that not only looks good but also stays clean and spotless.
No more hard work after a fun movie night in the sofa!
AI-based stain detection and scent diffusion
The Self-Cleaning Smart Sofa comes with several cleaning-friently features, such as:
- AI-based stain detection: The sofa's advanced sensors instantly detects stain and dirt, activating the intelligent cleaning system to remove them. And after the smart sofa's 14-days AI learning period, it will know where you are most likely to make a mess and protect this area with a special treatment.
- Integrated vacuum cleaner: The sofa is, of course, also equipped with a quiet yet powerful built-in vacuum cleaner that sucks up crumbs and dust from the sofa and stores it in an easily accessible drawer on the side.
- Scent diffuser: The Self-Cleaning Smart Sofa releases a pleasant, discreet scent to keep your home fresh and inviting. Choose from several fragrances in your smart home app.
Easy smart home integration and full smartphone control
The Self-Cleaning Smart Sofa is easily integrated wirelessly with your existing frient smart home system, allowing you to control cleaning features and settings directly from your smartphone.
The AI-integrated fabric of the sofa will also note which user made the mess in the sofa – information that can be accessed through your smart home app, readily available for a heated argument with your partner.
Launching April 1
Get ready to experience the ultimate convenience and cleanliness in your home with the Self-Cleaning Smart Sofa from frient – available from April 1.
Not looking for a self-cleaning sofa? Check out all the other and less fictional smart home frients here:
