This is not an ordinary mattress, you can control the temperature with the app, Wakefit has introduced it

New Delhi. Wakefit has launched its AI-powered sleep solution suite i.e. Wakefit Zense. The Wakefit Zense range includes temperature-adjustable mattress Regul8 and artificial intelligence (AI) contactless sleep-tracking device Track8. With this range, the company aims to give better sleep to the customers. Here technology has been integrated with the sleep environment. Both the devices have dual-zone sensors. So that a custom sleep environment can be created on both sides of the bed. Currently this range is available for pre-booking.

Talking about Regul8, its price has been kept at Rs 44,999. It has been introduced in two sizes namely Queen (78×60 inches) and King (78×72 inches). On the other hand, Track8 is priced at Rs 10,499. These can be pre-booked from the company’s site.

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Features of Wakefit Zense Regul8

According to the company, the Regul8 mattress has a water-based system to control the temperature of the mattress surface. The mattress temperature can be set between 15 degrees to 40 degrees Celsius. This will be done through the app. It also has a dual-zone temperature controller, so that users can set different temperatures for both beds.

It has integrated temperature sensors. This helps in monitoring the temperature of the mattress surface and real-time adjustments can be made. It also has 5 modes namely Neutral, Cold, Warm, Ice and Fire. According to the company’s claim, it consumes 60 percent less energy than a 1.5-ton AC.

Features of Wakefit Zense Tack8

This is a sleep solution within the range. It tracks the sleeping pattern and other metrics of the users without any contact. This device is a thin rectangular sheet of fabric. It has two sheet sensors. It is placed in place of the mattress. It has dual-zone sensors. It also has dual-zone sensors. This device sends the collected data directly to the app.

According to the company’s claim, this device collects data for sleep stage, respiratory rate, movement, sleep and wake up time, on-off bed time and snoring through the use of AI and machine learning algorithms. After analyzing all these, it gives an aggregated sleep score.

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