IntBridge LLC Launches Helium, The First Machine Learning Smart Light Hits Kickstarter

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Helium is a machine learning smart light bulb that also features night shift and Li+Fi to give you better health and Wi-Fi coverage.

IntBridge launched its first home automation product on, the Helium Smart Light Bulb.

Over the years, we have seen many smart lighting products, but they all have similar drawbacks: 1. Hard to setup 2. Require manual control on a phone 3. Low cost performance. Helium is our solution to these problems. Unlike any smart light bulbs in the market, Helium aims to create a better experience while offering features no other products had before.

Helium is three things in one: 1) A machine learning smart light bulb that learns about us and turns on the right light when we need it, 2) A night shift featured light that changes the color temperature throughout the day to keep us healthy, 3) a Li+Fi extender that combines both light bulb and a Wi-Fi extender to expand our home Wi-Fi coverage.

After a simple setup, Helium will become smarter over time by analyzing all kinds of data such as time, location, weather, proximity to the light and behavioral pattern. Through our machine learning algorithm, it predicts what you want and turns on or off the right light at the right time.

Helium can also help us have a healthy lifestyle. Researches have shown that extensive exposure to bright blue light may alter our circadian rhythm and make it hard to fall asleep. Helium smart light features color changing LED and intelligently reduces blue light before bedtime.

We also engineered Helium to be more than a light bulb. In this era of wireless internet, home Wi-Fi coverage has become a big problem for many people. By integrating a Wi-Fi extender into the light bulb, Helium is able to expand your home Wi-Fi coverage seamlessly.

Helium smart light is priced at $39 for a single bulb with 3 pack, 5 pack, 10 pack and 20 pack priced at $109, $159, $279 and $479, respectively. Helium is currently live on Kickstarter. For more information, visit:

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Derek Wang
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