ALLIE, by Arqaios

Background Problem: In an aging society, fall accidents among the elderly living alone are a serious issue. Falling in the bathroom or bedroom can lead to significant danger if not detected immediately. Meanwhile, energy waste in the home is also a problem, with lights left on or ventilation fans running when no one is present, resulting in inefficiencies due to lack of management.

Limitations of Existing Methods: Currently, wearable call devices or CCTV monitoring are used to prevent falls among the elderly, but the former is useless if the user does not wear it, and the latter raises privacy concerns.

In terms of energy control, individual smart lights and IoT plugs are available, but they are scattered and do not provide integrated management of the entire home. Above all, existing smart home devices often require users to operate them manually via an app, which is a difficult solution for the elderly, who are technologically vulnerable.

AI Sensors Integrated into Living Infrastructure: Instead of separate devices, ALLIE has made existing building facilities (switches, outlets, ventilation fans) smart. In other words, wall switches and other ubiquitous items are equipped with 60GHz millimeter-wave radar, illuminance/environmental sensors, and microphones to accurately detect whether a person is present, moving, or standing.

This non-visible light radar-based detection can detect changes in posture without cameras, enabling fall detection without privacy invasion. The basic infrastructure throughout the home becomes an always-on safety net.

Immediate Response to Falls & Daily Care: Multiple sensors are linked via a local network, so if a resident falls and remains motionless for a certain period of time, an alarm is immediately sent to the Caregiver or the building management system is notified.

In addition, if a person gets out of bed at night, a dim light is automatically turned on to illuminate the way to the bathroom, helping to ensure safe movement at night. This recognition and support of daily patterns was difficult to achieve with existing smart home devices, but ALLIE makes it possible through sensor cooperation in the entryway, hallway, and rooms.

Energy Optimization (Predictive Control): The ALLIE system collects real-time activity and environmental data from each space tolighting and HVAC (ventilation)automatically control them. For example, it turns off the lights when a person leaves the room, and operates air purifiers or ventilation fans only where needed.

In addition, it learns daily patterns with a predictive algorithm and adjusts heating or ventilation in advance at specific times to balance optimal comfort and energy savings. Because it operates autonomously between local devices, it works even when the internet is down, and the risk of personal information leakage is low.

Retrofitting to Existing Buildings: A major advantage is that it can be easily applied to existing buildings by replacing and installing switches or outlets without additional wiring work. Reliability is enhanced with power line communication (PLC) and a dual communication network (Ethernet/Wi-Fi), and there is no need to worry about battery replacement because the equipment is powered 24 hours a day. This is a decisive advantage in market scalability, making it a practical solution for implementing smart homes in existing buildings, not just new ones.

Purchase Decision Makers: Primarily, companies operating elderly care facilities and serviced residences will be interested. Premium apartment developers and local governments promoting smart cities are also key customers. Rather than individual consumers, a B2B2C model is more likely, in which construction companies, real estate operators, and healthcare institutions purchase and provide the system to end-users.

B2C/B2B/B2G Classification: It is closer to a B2B solution. Rather than a DIY product for general consumers, it is installed as a system integration in homes. It will mainly be supplied in B2G form through government smart home subsidy programs or local government elderly welfare projects, or provided in B2B2C form as a smart home package by construction companies.

Environmental/Regulatory Constraints: The use of non-contact radar for human body detection requires approval under the Radio Act, but the 60GHz band is relatively easy to approve. Privacy issues are also mitigated by not using cameras, reducing regulatory risk. Fall detection alerts are possible even if not classified as a medical device, so regulatory hurdles are not expected to be significant. However, electrical safety certification in each country is a basic prerequisite as it involves replacing electrical equipment.

Industry/Market Expansion: ALLIE is targeting the next-generation smart home platform with a pilot planned for the second half of 2026 and a consumer version launch in 2027.

There is global demand in developed aging markets (Japan, Europe, etc.) where safety requirements are high. It can also be expanded into the field of commercial building energy management in line with the trend of strengthening energy efficiency regulations. As it has announced plans to link with smart home standards such as Matter, widespread expansion is expected in the future through ecosystem construction with other IoT devices. On the other hand, cooperation with the traditional construction/equipment industry is essential, so technological innovation alone is not enough, and channel development may be key.

Background of Innovation Award: ALLIE was recognized as a practical solution for elderly safety with the CES 2026 Innovation Award (Honoree) in the Smart Home category. The concept of *"turning the house itself into a caregiver"* was well-received, and it was evaluated as presenting a new direction for home AI technology.

Technological Completeness: On-site demonstrations of wall switch-type radar sensors and real-time fall detection demos were revealed, proving that the development stage has gone beyond the prototype level. However, it is still in the pre-mass production stage with a pilot scheduled for 2026, and product stabilization and verification are in progress. Experts are"impressed by the fact that all functions are tied together in one platform,"but believe that the challenge is to install it in a real residential environment to ensure reliability.

Market Expectations: Investors and the smart home industry are paying attention to ALLIE as the direction of the next-generation smart home. This is because existing smart home devices operate individually, but integrated and caring AI like ALLIE has been rare. In particular, there have been discussions on commercialization from the beginning, with the US real estate industry considering applications in senior communities. However, it is uncertain how quickly it will penetrate the conservative construction market, so expectations and caution coexist.

Overestimation/Underestimation Factors: Some technology media have introduced ALLIE as *"an evolution of the smart home"* and have given considerable praise. However, there is also a view that overheated promotion should be avoided as it is a product that has not yet been released to the market.

While focusing on a clear niche of privacy-protected elderly care is highly valued, the difficulty of competing with large corporate ecosystems to expand into the general-purpose smart home market is pointed out. Overall, the atmosphere is"the concept is the best, the execution remains to be seen."이라는 분위기입니다.