The Era of the Living Companion: How Samsung is Personalising AI in the Home

No two homes tell the same story.

One family rises at dawn for school runs. Another works night shifts. Some households cook sumptuous weekend feasts. Others rely on quick weekday meals between activities. Yet for years, appliances were built with a one-size-fits-all mind-set.

Samsung is changing that narrative by building appliances that can learn your family’s habits.

Through its Bespoke AI ecosystem, Samsung is pioneering personalisation at scale, where technology adapts continuously to the rhythms, preferences and energy patterns of each household. This is the evolution of the AI Home Companion.

Built-in Intelligence

Personalisation is not an add-on feature. It is embedded within the appliance itself.

AI Wash^[1] refines performance over time, learning how frequently laundry is done, what fabrics dominate and how much detergent is needed. It improves efficiency without requiring reprogramming. AI EcoBubble^[2] uses intelligent fabric sensing and bubble technology to deliver up to 70% energy savings^[3] while removing 24% more soil^[4] , even in cold water. They use Artificial Intelligence (AI) to analyse fabric types and load weight, optimising detergent, water and bubble usage for high quality care and efficiency.

In climate control, AI Fast and Comfort Cooling^[5] ensures rapid temperature adjustments without an unexpected draft. The system learns occupancy patterns, adjusting cooling performance to deliver comfort only when and where it is needed.

This is personalisation that evolves. The more you live, the more your appliances understand.

An Ecosystem with a Bird’s Eye View

True personalisation happens when devices communicate. Through SmartThings^[6] , Samsung connects refrigerators, washing machines, ovens, air conditioners, TVs and mobile devices into a unified ecosystem with contextual awareness.

SmartThings^[6] Energy provides visibility into household consumption patterns, helping families make informed decisions and encouraging more sustainable living. Over time, the system learns preferences and automatically optimises operations to reduce unnecessary consumption without sacrificing comfort.^[7]

Secure, Reliable and Built for the Long Term

As homes become more intelligent, security becomes foundational. Samsung Knox^[8] safeguards connected appliances at both hardware and software levels, protecting data, access controls, and personal information. Personalisation should never mean a compromise on privacy.

Reliability also defines the AI Home Companion. Samsung appliances undergo rigorous durability testing and receive long-term software updates to remain secure and capable. With extended warranties, families invest in intelligence that lasts.

Why Personalisation Matters

Personalisation is not about novelty but about relevance. In a country as diverse as South Africa, homes vary widely in size, energy access and needs, climate conditions and lifestyle patterns. An adaptive AI ecosystem takes these differences into account and balances across apartments, suburban homes and all other household types in between.

When appliances respond to real-life behaviour, families spend less time configuring technology and more time benefiting from it. The technology fades into the background, allowing life to take centre stage.

The Future of the AI Living Companion

Samsung’s vision extends beyond smart appliances. It is about shaping a home that grows with you. Work patterns shift. Energy demands fluctuate. Through continuous learning and software updates, the Samsung AI ecosystem evolves with these transitions. More than connected, the home becomes attentive.

In this future, your refrigerator anticipates your weekly habits. Your washing machine aligns with your schedule. Your air conditioning understands seasonal nuances. Your energy consumption adapts automatically. And it’s all coordinated through one secure ecosystem. With this kind of personalisation happening at scale, it is not technology that demands attention, but technology that pays attention.

Samsung is not simply building appliances. It is building AI Living Companions designed to enrich life, strengthen families, and transform houses into responsive, intelligent homes that truly understand^[9] the people inside them.

Samsung is your companion in this new era, making the “home of the future” the reality of your today. For more details, visit https://www.samsung.com/za/home-appliances/why-samsung-appliances/

^[1] Based on an AI-created algorithm. Actual results may vary depending on individual use.

^[2] AI Ecobubble™ is only activated when specific courses are selected, including Cotton, Synthetics and AI Wash with loads less than 2kg.

^[3] Compared to washing in warm water. Tested in accordance with IEC 60456-2010 / 4kg Wash Load / Super Eco Wash cold (WF80F5E5U4W) vs. Cotton 40°C without Ecobubble™ (WF0702WKU). Individual results may vary.

^[4] Based on the Performance Lab Test report by Springboard Engineering on EMPA strips, comparing a normal detergent solution and bubble technology without mechanical action. Individual results may vary.

^[5] To use AI Fast & Comfort Cooling a Wi-Fi connection and Samsung account SmartThings are required. SmartThings server stores user data, preferences and usage patterns to suggest the most useful options

^[6] To use SmartThings, download the App from the Galaxy Store, Google Play Store, or Apple App Store. The supported OS specification, required storage space, and other usage environment for the SmartThings app can be found on the app download page in each app store. SmartThings has compatibility constraints, and the compatible environment may be updated periodically.  Supported OS specifications and app screen configuration may change with app updates.

^[7] Results may vary depending on the actual usage conditions and patterns.

^[8] Applied to all appliances that have an Internet connection.

^[9] AI-based features are available on certain appliances, and based on our deep learning model, which is trained using a predefined set of data and may yield incomplete or incorrect information. New data sets maybe introduced to our learning model from time to time to enhance its accuracy.