Project under development · Features subject to change · Estimated launch: Q4 2026
Professional home automation software
From lighting to domestic robotics
Interchangeable physical equipment
No brand or standard lock‑in.
Local control process designed for AI
Automatic learning of user habits.
AI‑assisted interface
Simplified automation setup.
The industry problem
After decades of promises, professional home automation installations remain impractical and inflexible: they are used less than expected, any change requires the installer, the system ages poorly... The industry responded with standardisation and proprietary ecosystems. Commercial solutions have also proliferated that are very fragile and cloud‑dependent. None solve the root problem. What exactly went wrong?
Failed standardisation
Home automation was standardised on the distributed logic paradigm. The result is technically very complex systems that, ironically, only offer basic, hard‑to‑extend functions. Even proponents of this approach recommend adding a “central hub” for complex automation (see article).
The underlying technical problem
Another problem with distributed systems is structural: they need to embed logic into the hardware itself. This forces software and hardware to evolve together, the worst possible scenario for innovation. Separating them is not just a technical improvement; it is a necessary condition to enable any real evolution.
From technical problem to brand lock‑in
The hardware‑software fusion soon became a commercial advantage for manufacturers: users and technicians were locked into their ecosystems. Instead of competing to offer better solutions, the industry prioritised certifications, entry barriers and bureaucracy that protect market share.
Alternatives that repeat the same pattern
Proprietary ecosystems emerged as a response to the limitations of standards. But they again embedded their logic in specific, non‑generic hardware. More players, the same pattern: loyalty through dependence, not value.
Two problems, one solution.
Faced with the problem of logic distribution and brand lock‑in, which blocks real and stable innovation (such as AI integration), the solution is to separate software from hardware, allowing these layers to evolve independently. Only then can home automation be built that is truly useful, flexible and reliable over time.
What is QUANTUM DOMOTICS?
QUANTUM DOMOTICS is a home automation engineering company that brings industrial rigour to the home, starting by separating the physical infrastructure and system logic.
Fundamentals
→ Hardware/software separation: logic evolves independently of the physical installation.
→ Interchangeable hardware: wired, wireless or analogue/digital signal devices, no brand ties.
→ Native local software: cloud‑independent operation, with privacy and 24/7 availability.
→ Optimised control: project‑specific configuration, no unnecessary complexity.
→ Hierarchical architecture: combines centralised control power with distributed control autonomy.
What it offers
→ Optimised deployment: guided physical installation, AI‑assisted configuration and simulation. Fewer errors and faster time‑to‑market.
→ Free unified interface: Installer mode and User mode in a single tool.
→ Realistic interface: based on interactive floor plan, intuitive and straightforward.
→ Real functionality: useful automations, precise control and immediate response.
→ Robust system: industrial reliability and 24/7 operation.
→ Predictive AI: controller designed to integrate artificial intelligence to learn user habits.
Solution architecture
The architecture of our solution is structured into two layers: an Application Layer (software platform) and a Physical Layer (interchangeable hardware), fully decoupled according to the open specification Quantum Layer Model™, inspired by the OSI model.
QUANTUM DOMOTICS develops the Application Layer and freely publishes the definition of the Physical Layer via the open specification Quantum Open Infrastructure™.
Application Layer (software platform)
→ Interface (Godot/C#): User mode for operation and monitoring. Installer mode for system design and configuration. Generates and signs the configuration that activates the Controller.
→ Generative engine (C#): produces automations from natural language. Integrated into the Installer mode of the Interface.
→ Learning engine (Python): receives context data from the Controller and trains the predictive model.
(Available in future versions.)
→ Universal controller (C++): executes the project configuration, manages system state in real time and feeds the learning engine with context data.
→ Inference engine (C++): loads the trained model and returns autonomous decisions to the Controller.
(Available in future versions.)
Physical Layer (interchangeable hardware)
→ Industrial SBC (Single Board Computer): installation controller. Embedded Linux.
→ NPU (Neural Processing Unit): inference accelerator for fast predictions.
(Available in future versions.)
→ Field devices: sensors, actuators and direct control and communication equipment.
Installation topology
Evolution of the Quantum Open Infrastructure specification
1. Current phase
Local IP/MQTT network
Integration via MQTT over Ethernet or WiFi. Agile installation, low cost and local operation.
→ Control: lighting, blinds and sockets.
→ Sensors: presence, light and contact (blinds and windows).
2. Medium term
Specification expansion
Gradual integration of advanced residential equipment:
→ IP devices: Smart TVs, speakers and cameras.
→ Wireless: Zigbee / Z‑Wave via coordinators.
→ Dedicated systems: climate and alarm control panels.
3. Long term
Industrial & tertiary
For premium projects or high‑demand tertiary installations:
→ Field buses: Modbus TCP / EtherCAT.
→ Domestic robotics: orchestration of autonomous maintenance robots.
Products
QUANTUM DOMOTICS software platform is organised into two levels:
→ Basic package: QUANTUM INTERFACE™ + QUANTUM ENGINE™
QUANTUM INTERFACE can be installed independently for design and simulation.
→ Premium modules: QUANTUM TASKS™ and QUANTUM INTELLIGENCE™
Optional and independent. Require the basic package.
Detailed technical documentation available upon request.
Design & experiment
with the system
Design, validate and operate the installation. Free. Enables premium modules.
Visual design: Realistic floor plans with rooms, furniture and devices.
Device management: Configure sensors and actuators and their hardware mapping.
Visual and AI‑assisted automation: Define rules graphically or by writing a prompt.
Hardware‑less simulation: Force sensor and actuator states to validate the system.
Automated documentation: Material lists, connection diagrams and installation guides.
Secure deployment: Generates and signs the configuration file that activates QUANTUM ENGINE.
User mode: Monitoring and control on floor plan with contextual zoom. Standard tablets as fixed room panels.
Status: Evolving prototype for integration into MVP.
Bring
QUANTUM DOMOTICS to life
The system's brain. Processes the designed configuration in real time and orchestrates all devices.
Native universal software: Single C++ executable + dynamic configuration. Maximum efficiency and immediate start‑up.
Per‑project license: Free download of the engine. One‑time payment based on specific configuration.
Open connectivity: MQTT and Modbus TCP over Ethernet or WiFi. EtherCAT optional.
Full autonomy: Works locally, independent of the interface.
Hybrid management: Orchestrates deterministic logic (safety) and, optionally, adaptive AI processes.
Local event logging: Internal logging for diagnostics. Data never leaves the installation.
Status: Evolving prototype for integration into MVP.
The most
efficient intelligence
Adaptive automation based on usage patterns. Optimises comfort and energy without manual configuration.
Local AI (Edge AI): Ultra‑fast inference via dedicated hardware accelerator on the controller. No data sent off‑site.
Predictive comfort: Adjusts setpoints (temperature, light…) anticipating the user.
Energy saving: Management of windows, heating/cooling, solar hours and occupancy without affecting comfort.
Hierarchical safety: Non‑critical optimisation layer. In doubt, falls back to deterministic control of the Engine.
Progressive learning: The system evolves with use. The user can override it at any time.
Status: Planned.
Your invisible
butler
Advanced home process orchestration: planning, assignment and coordinated execution.
Extended logic: Flows with multiple conditions, variables and time sequences.
Process manager: Models complex tasks (e.g., "Morning Routine") coordinating devices and notifications.
Intelligent prioritisation: Resolves resource access conflicts according to predefined importance and urgency rules.
Configurable autonomy: From step‑by‑step notifications to 100% autonomous execution.
Fault tolerance: Status monitoring and automatic retries for critical tasks.
Status: Planned.
Prototype
Functional system installed in our pilot apartment. Validates the technical feasibility of the fundamental principles of QUANTUM DOMOTICS.
To validate control software without limitations, industrial technology (EtherCAT + CODESYS) has been used. The first commercial versions will use more efficient home automation communications (MQTT and Modbus TCP) and a universal native engine (C++), while maintaining the same principles validated here.
QUANTUM INTERFACE
→ Floor‑plan design: Create rooms, furniture and devices with full customisation and dynamic animations.
→ Intuitive configuration: Edit devices and link with physical control/monitoring signals.
→ Real‑time operation: Monitor and control according to device type.
→ Simulation mode: Experiment without installed hardware.
Installed hardware
→ Controller: Raspberry Pi 4 running industrial logic.
→ Communication: EtherCAT industrial bus with couplers and digital/analogue I/O modules.
→ Lighting: LEDs with standard drivers (0‑10V/push‑dim) and physical switches, guaranteeing permanent manual control.
→ Switches: Standard low‑voltage (24V) mechanisms, maximum electrical safety.
→ Sensors: Presence (IR) and light (LDR) for reactive automation.
QUANTUM ENGINE
→ Platform: Implemented on CODESYS to validate logic generation from the floor plan, laying the foundation for the final native C++ engine.
→ Programmed functionality: Proportional activation based on presence and ambient light, continuous monitoring and real‑time remote control.
→ Optimised code: Auto‑generated variable mapping from the interface, direct memory access and event‑driven execution.
Try it
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(Prototype version, for demonstration purposes only.)
Request prototype testTechnical Roadmap
QUANTUM DOMOTICS has validated its fundamental philosophy —bringing industrial rigour to the home— through a functional prototype. The following phases develop this industrial essence progressively and in a controlled manner, aimed at technicians who value truly innovative solutions and businesses and investors focused on medium‑to‑long‑term growth.
Technical base
and business model
Completed
April 2026
Goal: Establish the system baseline and define the business model.
→ High‑performance prototype: Lighting control with CODESYS and EtherCAT bus.
→ Strategic definitions: Business model and product structure.
Outcome: Technical feasibility demonstrated and technology roadmap defined.
Pre‑launch
(MVP)
In progress
Q2 2026
Goal: Universal controller and complete operational demonstration.
→ Unified architecture: Native C++ executable with dynamic per‑project configuration.
→ Local IP connectivity: Commercial devices via MQTT (Ethernet/WiFi) with public API.
→ Generative AI‑assisted interface: Create complex logic using natural language.
Outcome: Fast physical installation and simplified configuration.
Launch
(First installations)
Planned
Q4 2026
Goal: First commercial deployments and automated licensing system.
→ Reference installations: Deployments with direct support from the founder.
→ Customer portal: License management and project activation.
→ Expanded connectivity: Climate control and specialised sensors.
Outcome: Real success stories and scalable licensing model.
QUANTUM INTELLIGENCE
(Predictive AI)
Planned
2027
Goal: Move towards an autonomous home and adaptive comfort.
→ Native Edge AI: ultra‑fast local inference via NPU integrated into the controller.
→ Secure training: asynchronous learning on a PC to avoid impact on critical control.
→ Privacy: local learning and optimisation without extracting home data.
Outcome: Anticipation of user needs while maintaining data sovereignty.
Advanced evolution — QUANTUM TASKS
Goal: Complex process orchestration while always maintaining deterministic control above adaptive layers.
→ Superior orchestration: management of home processes, time sequences and automatic conflict resolution between concurrent automations.
→ Visual design: creation of advanced routines that coordinate multiple devices, services and users simultaneously.
QUANTUM DOMOTICS Partners
QUANTUM DOMOTICS offers real advantages to technicians and investors who want to stand out with next‑level technology. We seek specific synergies with profiles that bring and obtain real value.
Technical partners
Engineers & Integrators
What we value
→ Experience in control systems and open protocols (MQTT, Modbus, …).
→ Specification ability and projects with replication potential.
What we offer→ Professional demo kit for technical tests.
→ Technical access to architecture and preliminary versions.
→ B2B agreements for large‑scale deployments with direct support.
→ Direct dialogue to guide future integrations.
Installers
Deployment & Profitability
What we value
→ Work quality and execution capability.
→ Genuine interest in high‑value‑added solutions.
What we offer→ Access to projects derived from prescribers.
→ Direct support during the first installations.
→ Preferred conditions on licenses and territorial exclusivity.
Strategic investors
Expansion & Scalability
What we value
→ Strategic vision and experience in B2B or software expansion.
→ Ability to open commercial doors and accelerate key partnerships.
What we offer→ Deep Tech opportunity: Entry into the first home automation system that unifies interchangeable hardware, high‑performance software and 100% local Edge AI in a highly scalable SaaS model.
→ Access to technical and field information for strategic decisions.
→ Participation in key agreements in a transforming sector.
Tell us your profile and we will explore how to generate value together.
Founder and technology leader
(The video is muted and subtitled by default in English)
I am a Telecommunications engineer and have over 25 years in control systems: robotics, hotel inmotics and air navigation security.
I have participated in projects:
→ underwater robotics at the University of the Balearic Islands (UIB)
→ hotel inmotics at Robot S.A.
→ air navigation security at Schneider Electric
During that journey I observed that home automation remained focused on closed ecosystems that trap the technician and the client — while industry had enjoyed open and reliable systems for decades.
I saw the opportunity to bring vendor independence and industrial efficiency to the home, treating home automation as yet another infrastructure, on par with electrical or plumbing systems.
From that vision QUANTUM DOMOTICS was born.
If you work in home automation and want to see how this changes your way of operating, I will be happy to talk with you.