The most important questions about the AI Butler for Real Estate

Here you will find answers to the most important questions about GreenAutarky, the AI Butler for Real Estate, installation in existing buildings, and the benefits for owners and tenants.

All about GreenAutarky

Energy-adaptive living space means that a building no longer behaves rigidly, but continuously adapts its heat distribution to real conditions. GreenAutarky’s AI Butler for Real Estate continuously analyzes temperature and operational data, learns from actual usage behavior, and controls heating proactively. This allows the system to respond to weather, usage, room behavior, and building conditions — with the goal of using energy more efficiently while maintaining living comfort.

The AI Butler is a solution for intelligent heating control in existing buildings. It is installed directly in the apartment and works together with smart thermostats as well as room temperature and humidity sensors. Unlike conventional solutions, hydronic balancing is not configured just once, but continuously implemented during ongoing operation.

Conventional smart thermostats usually control individual radiators or rooms. GreenAutarky goes further: the AI Butler considers not only individual temperatures, but also the interaction between user behavior, rooms, the building, and the heating system. This creates building-wide, learning control instead of simple individual room control.

Conventional hydronic balancing is usually calculated and configured once. GreenAutarky replaces this static logic with continuous, AI-based control during ongoing operation. Heat distribution is therefore not optimized just once, but continuously adapted to real conditions.

For Tenants

The components required for control are installed in the apartment. These include the AI Butler, smart thermostat valves on water-based radiators, as well as room temperature and humidity sensors. Optionally, a user app can also be provided.

The installation is designed to be as simple as possible. A preconfigured starter package is prepared for each apartment and each room. Installation is carried out on site by qualified personnel. The devices are then clearly assigned to the respective apartment and commissioned, so that the system is quickly ready for use.

Usually, very little. Access to the apartment must be provided so that the installation can be carried out. After that, the system operates largely automatically. The tenant therefore does not need to set up any technology or make complex settings.

No. Using an app is optional. Tenants can continue to set their temperature directly on the thermostat. This is important because the solution is designed to work in everyday life even without an app.

Yes. Tenants can manually adjust the thermostat as usual. The automatic control continues running in the background and ensures that heat distribution remains efficient overall.

For tenants, the AI Butler offers three main benefits: lower ongoing consumption costs, more even heat distribution, and greater everyday comfort. At the same time, operation remains simple because the thermostat can still be adjusted manually. In addition, personal usage data is not unnecessarily centralized.

No. The solution supports the tenant, but does not take control away from them. The room temperature can still be adjusted manually. GreenAutarky complements everyday heating use with smarter and more efficient control.

Personal usage data remains locally within the apartment. Owners receive only anonymized building data, for example for monitoring and analysis. This is a key element of GreenAutarky’s data protection and data sovereignty approach.

For Owners

No. The solution supports the tenant, but does not take control away from them. The room temperature can still be adjusted manually. GreenAutarky complements everyday heating use with smarter and more efficient control.

The owner receives anonymized building data that provides insights into consumption, temperature behavior, efficiency, and potential risks within the building. The goal is to provide better information for operations, control, and investment planning without interfering with tenants’ privacy.

A key benefit is that real operational data is generated. Owners gain a better understanding of how their building actually behaves, what output is required, and where action is needed. his can help plan renovations more precisely, avoid oversizing, and better prepare the transition to district heating, local heating networks, or heat pumps.

Yes, that is exactly what the solution is designed for. GreenAutarky is not only aimed at individual properties, but also at housing companies, cooperatives, portfolio owners, and property managers who want to manage and develop multiple properties in a structured way.

Legal aspects and Cost-effectiveness

Energy-related modernization measures are generally provided for in the German Civil Code; Section 555b refers to measures through which final energy is sustainably saved, and Section 559 allows, under certain conditions, an annual rent increase of 8 percent of the costs incurred. Whether GreenAutarky falls under this in a specific case, and how the costs can be legally classified with certainty, is assessed individually before implementation.

No. The current solution already creates value in existing buildings today, but can also be understood as a bridging technology for later transitions to district heating, local heating networks, or heat pumps. This future-readiness in particular is an important argument for owners.

Because the solution not only enables smarter control of individual apartments, but also makes building-wide and neighborhood-related data and load profiles easier to plan in the future. This makes GreenAutarky particularly interesting for large portfolios, neighborhood-based approaches, and future heating infrastructures.

Adaptive³ means that the AI Butler increases energy efficiency in the building through three interconnected mechanisms: through continuous hydronic balancing. through the gradual lowering of the heating curve, and through ongoing adaptation to real user behavior, These three levels work together to ensure that the building continuously self-optimizes based on real operational data — without interventions in the building structure.