How We Train AI Models for Swiss Architecture

AI-powered architectural visualization is more than just a buzzword. At Mirae, we develop our own specialized models tailored to the requirements of Swiss architecture and the real estate industry. In this article, we show how we train our AI models and why this approach makes a real difference.

Model training (also called fine-tuning) is the process of specializing a general AI model for a specific task. Instead of using a generic image generation model that can do everything a little, we train models that produce architectural visualizations of the highest quality — with an understanding of Swiss building materials, lighting conditions, architectural styles, and landscapes.

The quality of an AI model stands or falls with its training data. Over the years, we have built an extensive dataset from our own photorealistic renderings — thousands of high-resolution images with consistent quality. Each image is carefully curated and represents the quality standard we expect from our models. This proprietary dataset is our greatest competitive advantage.

Every training image is annotated with detailed descriptions (captions): architectural style, materials used, lighting mood, perspective, time of day, and surroundings. These captions are critical for how precisely the model responds to inputs later. We invest considerable time in creating these descriptions — because the more accurate the captions, the more controlled and higher-quality the generated results.

After each training run, we evaluate model results against rigorous benchmarks. We check: Are the materials realistic? Are the proportions correct? Does the lighting look natural? Are typical Swiss architectural elements correctly depicted? Only models that meet our quality standards are deployed in production. This iterative process guarantees that our AI visualizations are at the highest level.

Generic AI models don't know Swiss specifics: the typical mineral plaster facades, Swiss natural stones like Vals quartzite, the specific lighting conditions in the Alpine region, or the architectural language of Swiss firms. Our specialized models understand this context and deliver results that are authentic and locally relevant. That is what makes the difference between a generic AI visualization and one that seamlessly fits into the Swiss context.

Training proprietary AI models is demanding, but it pays off. Our clients benefit from AI visualizations that are not only fast but also high-quality and authentically Swiss. We are convinced: the future of architectural visualization lies in specialized AI models — and we are investing in that future today.