AI-Powered Platform NaiS Revolutionizes Building Renovation Planning for a Sustainable Future

Karlsruhe, Germany – In a significant stride towards accelerating the energy-efficient renovation of Germany’s vast building stock, researchers at the Karlsruhe Institute of Technology (KIT) have unveiled NaiS, an innovative digital platform that leverages artificial intelligence (AI) to make complex renovation decisions faster, more transparent, and significantly more efficient. With approximately 75% of buildings in Germany constructed before the introduction of the first thermal insulation ordinance, the need for robust decision-making tools for housing companies, municipalities, and other property owners is more critical than ever. The NaiS project, a collaborative effort between KIT and partners from science and industry, promises to deliver precisely that, analyzing vast amounts of building data within minutes and presenting viable renovation options.

The urgency of improving the energy performance of existing buildings cannot be overstated. These structures represent a substantial portion of Germany’s carbon footprint, and their modernization is a cornerstone of achieving climate protection goals within the building sector. However, the process of planning these renovations has historically been labor-intensive. Information is often fragmented across various formats, requiring manual compilation and assessment against technical, economic, and ecological criteria. NaiS aims to dismantle these hurdles, transforming a process that could previously take days into one that can be completed in mere minutes.

The Genesis of NaiS: Addressing a Critical Need

The NaiS platform, an acronym for "Nachhaltige intelligente Sanierungsmaßnahmen" (Sustainable intelligent renovation measures), is designed to consolidate digital services that autonomously link and evaluate data from diverse sources. This includes images, floor plans, textual documents, and statistical building information. By employing cutting-edge AI, the system can not only fill in missing data gaps but also semantically prepare information for digital building models and visualize results in detailed 3D representations.

"With NaiS, we are creating a data-driven foundation for making renovation decisions significantly faster and more transparent," states Philipp Zielke, Co-Project Lead at the Institute for Technology and Management in Construction Management (TMB) at KIT. "Especially for large building portfolios, this is a crucial step towards a sustainable transformation." This sentiment is echoed by Dr. Karoline Fath, Head of Sustainable Building at Ed. Züblin AG, a practical partner in the project. "The sustainable development of our building stock is the future challenge for the construction and real estate industry," she remarked. "We are convinced that AI technologies like the services developed in NaiS for property data acquisition can make an important contribution – for the benefit of our planet and our society."

The NaiS project, which commenced in May 2023, received a substantial €4.1 million in funding from the Federal Ministry of Education and Research. The consortium comprises KIT’s TMB, the Institute of Applied Informatics and Automation, and the Karlsruhe Service Research Institute, alongside external partners Ed. Züblin AG, Concular GmbH, CAALA GmbH, and the German Society for Sustainable Building.

A Chronology of Innovation: From Concept to Platform

The development of NaiS represents a culmination of dedicated research and collaborative effort. While the specific timeline of initial conceptualization is not detailed, the project officially launched in May 2023, marking the beginning of its intensive development and testing phases. The project’s structure involved bringing together expertise from various disciplines, including computer science, civil engineering, and real estate management, to create a holistic solution.

A key milestone in the project’s lifecycle was the extensive testing phase. Over the course of four testing sessions, 104 potential users actively engaged with the platform, providing invaluable feedback. This iterative process of development and user validation was crucial in refining the platform’s functionalities and ensuring its practical applicability. The overwhelmingly positive reception from these users underscored the project’s success in addressing real-world challenges.

The formal conclusion of the NaiS project is marked by the upcoming "NaiS Summit" scheduled for June 11, 2026. This event will serve as a platform for researchers, industry professionals, policymakers, and administrators to discuss the future of digital and sustainable building transformation and explore the full potential of AI-driven renovation planning.

Supporting Data: The Power of AI in Numbers

The impact of NaiS is best illustrated by the dramatic reduction in analysis time and the overwhelmingly positive user feedback. Previously, tasks related to building data analysis and renovation option assessment could consume approximately 16 working hours. With NaiS, these same tasks can now be completed in a mere 10 to 20 minutes. This represents a staggering efficiency gain of over 50 times, freeing up valuable human resources and accelerating the decision-making process for property owners.

The testing sessions provided compelling quantitative evidence of the platform’s value. A remarkable 93% of the participants confirmed a clear added value of the platform. Furthermore, 87% of users recognized concrete support in their building assessment processes, and an equal percentage would recommend NaiS to others. These figures highlight the platform’s tangible benefits and its potential to become an indispensable tool in the real estate and construction sectors.

The benefits are particularly significant for large institutional property holders and municipalities, who manage extensive building portfolios. The ability to drastically speed up decision-making processes and reduce research efforts translates directly into cost savings, improved planning accuracy, and a more proactive approach to energy efficiency upgrades.

Official Responses: Endorsements from Industry Leaders

The potential of NaiS has garnered strong endorsements from key stakeholders within the industry. Dr. Karoline Fath of Ed. Züblin AG, representing a leading construction company, articulated the critical importance of sustainable building practices. "The sustainable development of our building stock is the future challenge for the construction and real estate industry," she stated. Her conviction in the role of AI, as exemplified by NaiS, is clear: "We are convinced that AI technologies like the services developed in NaiS for property data acquisition can make an important contribution – for the benefit of our planet and our society."

Philipp Zielke from KIT’s TMB emphasized the platform’s role in fostering transparency and accelerating change. "With NaiS, we are creating a data-driven foundation for making renovation decisions significantly faster and more transparent," he explained. "Especially for large building portfolios, this is a crucial step towards a sustainable transformation."

The German Society for Sustainable Building (DGNB) plays a vital role in disseminating the project’s outcomes. The NaiS platform is now available through the DGNB, ensuring broader access for professionals seeking to implement more efficient and data-informed renovation strategies. This partnership underscores the practical application and industry-wide adoption of the developed technologies.

Implications for the Future: A Catalyst for Sustainable Transformation

The implications of the NaiS platform extend far beyond mere efficiency gains. By democratizing access to sophisticated data analysis and providing clear, actionable renovation options, NaiS has the potential to significantly accelerate the pace of energy-efficient retrofitting across Germany. This, in turn, will have a profound impact on the country’s ability to meet its climate targets, reducing greenhouse gas emissions from the building sector.

The platform’s ability to integrate diverse data sources and utilize AI to fill information gaps also addresses a long-standing bottleneck in the renovation process. This comprehensive approach ensures that decisions are based on a holistic understanding of a building’s condition and potential, leading to more effective and cost-efficient interventions.

Furthermore, the success of NaiS is paving the way for future innovations. The research team at KIT is actively pursuing follow-up projects that build upon the AI technologies developed within NaiS. A prime example is the ConCIRCLE project, funded by the Federal Ministry of Education, Research and Technology with €1.8 million. In ConCIRCLE, KIT leads the consortium in developing a digital assessment system to analyze the reusability of reinforced concrete components. This project demonstrates how the foundational AI capabilities of NaiS are being adapted and expanded to address other critical areas of sustainable construction and resource management.

The "NaiS Summit" will undoubtedly serve as a crucial forum for discussing these broader implications. By bringing together diverse stakeholders, the summit aims to foster a shared vision for the digital and sustainable transformation of the building stock and to highlight the immense potential of AI-driven planning tools. As Germany and the world grapple with the urgent need for climate action, platforms like NaiS offer a tangible and promising pathway towards a more sustainable built environment. The ability to make informed, efficient, and data-driven decisions regarding building renovations is no longer a distant aspiration but a present reality, thanks to the pioneering work at KIT.