- Offers proprietary, customisable, end-to-end smart wearable IT solutions
- Secured international investors including Springs Seed Capital
SAFETY Heat Maps, Safe Route Suggestions, Sleep Better and Stress Management: these are some of the smart wearable applications that are powered by AI and Machine Learning and showcased at CES 2018 by Singapore-based KaHa.
KaHa was founded in 2015, and has established itself as a serious player in the global IoT and smart wearables industry, offering proprietary, customisable, end-to-end smart wearable IT solutions.
The company has also secured international investors including Springs Seed Capital, and brands keen in bringing wearable tech to their consumers.
KaHa is participating in CES 2018 in Las Vegas, handpicked by IE Singapore as part of the national delegation, and exhibiting at CES’ flagship startup and innovation-centric venue Eureka Park.
KaHa is unveiling its Smart Wearable Operating System which supports a range of technology verticals: Safety, sports and fitness, health & wellness, and health, convenience, lifestyle, and special needs.
Through harnessing the capability of inbuilt AI and machine learning algorithms, KaHa smart wearables provide innovative consumer use cases and exciting user experiences. Highlights include:
Safety Heat Map – KaHa’s AI platform continuously analyses more than 10 different parameters, producing a visualisation of safe zones. The AI continuously analyses and learns from safety-related incidents across locations and provides a ‘LIVE’ safety heat map.
A related and very useful safety feature is the Safe Route Suggestion - where the user can select their location and destination, and the AI provides real-time suggestions on routes and also ones to avoid (e.g. roads to avoid which are determined as unsafe at that moment).
Stress Management – The platform learns the individual user’s living patterns and bio-data such as their metabolism, and records a series of trackable parameters which are picked up by the smart wearable.
Through machine learning and deep pattern matching algorithms, the data is paired with the wearable’s stress alerts feature, helping the user be more aware of their wellness - for instance detecting periods of heightened stress and guiding the user through breathing experience to regain their composure.
Sleep Better – By analysing user groups of existing KaHa wearable users with deep learning and pattern matching algorithms, KaHa’s AI is able to provide insights on sleep quality and suggestions of improving your sleep.
The AI also incorporates machine learning to measure efficacy of previous suggestions and further improve future suggestions.
Virtual Route demonstrates the smart socialisation of augmented and virtual reality.
Users are able to sync-up with their buddies in any part of the world, and go on virtual runs together, while still practicing their fitness regime at home.
Commenting on the release, Pawan Gandhi, CEO and founder of KaHa, said, “Right from the beginning, we consciously knew our purpose has been to provide a new take on smart wearable technology. We use technology to help consumers in their everyday lives, and ultimately redefine the consumer experience and journey.
“Our AI and Machine Learning-led products will make wearables truly smart, provide personalized experience, and are easily adopted by fashion and luxury brands to suit their consumers’ tastes.”