💓Sleep Tracking

We rely on real data. Only real data reveals real problem.

Nowadays, user activity tracking is not hard anymore. From big data and wearable devices, we can easily understand how user's sleeping behaviours are.

Phone Activity

Phone activities such as on screen time, usages are very straight forward data identifying if user currently sleeping.

We can have even far more than that.

Such as, by user's focusing behaviours, reacting speed, etc. we can understand user's concious status. Beyond that, we know how users health status from different prospects.

Wearable Devices

Wearable devices such as Apple Watch, Fitbits are far more advance than what we could do before to constantly, immediately, continuously understand how the user's health and sleeping status are.

We've already have connection with wearable device manufacturers. In future, we're going to have our own designated devices specifically for our solution. Users will have far better experiences from such.

Big Data

Backed by big data, we learn from each user and share these knowledges with each one.

With Web3 technologies, user can still keep themselves full data ownership and anonymous while offering use analysis data in the same time.