Ambi Unveils Ambi Climate: An Air-Conditioner Add-on That Predicts Your Indoor Climate

Hong Kong — Ambi Labs officially announces the launch of Ambi Climate, a delightfully simple add-on upgrade that optimizes your home’s air conditioning (AC). Ambi Climate simplifies your comfort, taking over the management of your AC to maintain perfect indoor conditions for your home while minimizing energy consumption.

Ambi Climate uses proprietary machine learning techniques to predict conditions in your home and learns your preferences, local weather patterns and your home’s heating and cooling profile. Ambi Climate is the result of over two years of Asia focused research in user behavior and air conditioner usage and performance.

“Recently, several learning thermostats and AC controllers have appeared on the market,” said Julian Lee, founder and CEO of Ambi Labs, “but most of these predict the schedule of the user, i.e. when they are home and when they are out, and automatically switch on and off the AC to match. Our research shows that this isn’t a challenge in Asia – users typically switch on their ACs when they need them, and do not need help in this regard.”

Over the last two years, Ambi Labs has conducted online surveys across ten key markets in Asia, with over 4,000 respondents. These respondents have clearly indicated their primary AC challenge is in maintaining comfortable conditions, and that they are concerned about the resulting high cost and carbon footprint. Overall, 72% of respondents in the region identified with at least one AC usage issue, such as finding the room too warm, too cool, too dry or too humid at times.

Ambi Labs’ research indicates that these difficulties are largely due to the outdated design of existing AC remotes. Julian commented: “Current remote controls encourage the user to focus on power and temperature buttons, so it is unsurprising that many users engage in inefficient on/off control behavior – they switch on their ACs when they are hot, and switch them off when it gets too cold. The resulting ‘yo yo-ing’ in temperature, as some of our research participants called it, is both uncomfortable and a waste of energy. They have also complained about needing to adjust their ACs as much as every 30 minutes, and some habitually wake up in the middle of the night to adjust the settings.”

Ambi Climate harnesses machine learning and big data techniques to solve these problems. It is the world’s first system that learns not just your preferences, but also predicts how conditions in your home will change. Ambi Climate’s patent pending algorithms build up a holistic picture of your home, and are able to adjust your AC settings to maximize your comfort, no matter the time of the day, or outdoor weather patterns.

Ambi Climate also provides deep, data-driven insights into the conditions in the user’s home, and the impact of their usage behavior. “Most people know that closing the blinds during the day will cut down the heat trapped in the home – reducing the cooling required in the evening, yet how many people really do that?” commented Julian. “Ambi Climate gives you insight into these factors, so that you can better understand the impact of your decisions.”

About Ambi Climate

● Simplifies your comfort
● Solves common Asia pain point – the need to frequently adjust the AC
● Uses proprietary machine learning techniques to predict conditions in your home
● Gives you more insight into the impact of your AC usage patterns
● Add-on upgrade, compatible with all remote controlled ACs
● Smartphone controlled, WiFi enabled, talks to your AC in place of your remote control

(PR Newswire)