Ambi Labs

Founded and headquartered in Hong Kong, we create Ambi Climate, an AI-enhanced add-on for air conditioners.

General Information
Company Name
Ambi Labs
Founded Year
2012
Location (Offices)
Hong Kong S.a.r. +1
Founders / Decision Makers
Number of Employees
7
Industries
Consumer Electronics, Hardware, IoT +1
Funding Stage
-
Social Media

Ambi Labs - Company Profile

Ambi Labs is a Hong Kong-based IoT startup that aims to revolutionize the way we interact with air conditioning systems. The company's flagship product, Ambi Climate, is an AI-powered add-on device for air conditioners, designed to provide personalized comfort by analyzing various environmental factors. By leveraging built-in sensors and artificial intelligence technology, Ambi Climate not only detects and analyzes temperature, humidity, weather, and sunlight but also learns from user feedback and habits to auto-adjust the AC settings, creating the perfect indoor environment.

Founded in 2012, Ambi Labs is driven by the mission to bridge the gap between traditional appliances and modern technology, making homes more comfortable and energy-efficient. The company's dedication to creating intuitive and seamless smart technology aligns with the concept of "Ambient Intelligence," where technology seamlessly integrates into users' lives.

With a focus on Consumer Electronics, Hardware, IoT, and Machine Learning, Ambi Labs caters to individuals who are eco-conscious, pet owners, and parents, offering the flexibility to monitor and control their air conditioning systems remotely via a smartphone. Whether it's pre-cooling the house before arrival or setting specific rules and timers, Ambi Climate provides a convenient and energy-saving solution.

While specific details regarding the latest investment and investors are not available at the moment, Ambi Labs showcases potential for growth and innovation in the IoT and smart home technology space, with its innovative product offering and commitment to enhancing user comfort and environmental sustainability.

Taxonomy: IoT devices, Smart home technology, Energy efficiency, Predictive technology, User research, Machine learning, Home automation, Thermal comfort optimization

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