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Home » Origen advances DOMIA’s home intelligence, elevates smart living from commands to autonomy
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Origen advances DOMIA’s home intelligence, elevates smart living from commands to autonomy

By dailyguardian.aeJune 22, 20263 Mins Read
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Abu Dhabi, UAE — June 22, 2026: Origen Technology, an Abu Dhabi-based AI-native technology company, has outlined the intelligence layer powering DOMIA, the AI-native home platform unveiled at MWC Barcelona. Building on that global debut, the company is now showing how DOMIA’s reasoning core establishes a new standard, moving the home beyond connected devices and one-off commands to an environment that understands context, learns individual preferences, and acts autonomously within user‑defined boundaries.

Most ‘smart homes’ continue to rely on user commands, but DOMIA changes that. While today’s market remains controlled by voice commands and pre-set rules, DOMIA is built to move the home from reactive to autonomous, much like the evolution from cruise control to self-driving. At its core is a resident-aware agent that interprets the context of a space, learns residents’ preferences from behaviour rather than settings, and acts within confidence-gated bounds the resident can always view and override. The outcome is a home that anticipates needs, minimising the need for direct requests.

This clearly demonstrates what DOMIA is and what it is not. It is not a voice assistant, an app remote, or a rule-driven controller presented as intelligence. It is not a hardware component either; devices merely serve as the body that executes intent beneath a continuously learning cognitive layer. The intelligence is the product. DOMIA’s reasoning core – spanning memory, learned routines, and the ability to reason through intent – is engineered and owned outright by Origen, providing the defensible framework that turns a collection of connected products into a single coherent system – one home, one intelligence.  

In practice, this intelligence translates into a home that incrementally enhances itself. DOMIA reads a room through non-intrusive spatial sensing rather than indoor cameras, enabling it to modulate lighting as someone settles in to read, regulate air quality and temperature based on occupancy, and summarise a night’s rest without the use of wearables. It engages in natural conversations, anticipates needs and prepares the home accordingly, and identifies an unfamiliar presence or a water leak before it becomes a problem, all mirrored live in a digital twin of the home. Privacy is also built into this architecture by design, as personal data can be processed locally and kept within the home. Residents can inspect, approve, and delete that data as required.

Frank Dai, CEO of Origen, said: “For years, ‘smart homes’ have been evaluated by their device count. However, we believe that is the wrong metric. The real measure is how well a home understands its residents. With DOMIA, intelligence is the product and the hardware is simply its body, fully replaceable beneath an end-to-end cognitive layer we have engineered ourselves. We are not adding another assistant to the home but rather giving the space a mind of its own – one that earns trust by operating strictly within resident-defined boundaries and remaining fully under their control.”

DOMIA’s expanded capabilities align with the Middle East’s accelerating focus on digital transformation, smart infrastructure, and sustainability, as governments prioritise technologies that enhance operational resilience, optimise energy use, and deliver citizen‑centric urban experiences. With the GCC smart cities market projected to reach USD 69 billion by 2034, demand for AI-driven infrastructure solutions is expected to continue growing, reinforcing the sector’s shift towards predictive, resilient, and sustainable urban systems. As governments and developers across the GCC deepen investments in future‑ready infrastructure, Origen’s approach positions smart living not merely as an add-on, but as a foundational layer for the next generation of urban transformation.

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