Analyze, evaluate, and manage real estate assets with accuracy thanks to a sovereign AI hosted in Switzerland.
AI, a transformation lever for real estate
The Swiss real estate market is undergoing increasing digitalization driven by data and predictive models. AI technologies enable automated valuation, optimized rental management, and real-time market analysis.
The three major challenges of the real estate sector
Real estate digitalization requires greater accuracy, transparency, and optimized asset management.
Uneven property valuations
Lack of objectivity can result in inconsistent property estimates.
Time-consuming market analysis
Monitoring trends and rental prices requires significant manual effort.
Risk in rental management
Billing errors, maintenance delays, and monitoring issues generate avoidable costs.
Relevant AI use case in real estate
This use case illustrates how artificial intelligence improves precision and productivity in real estate operations.
Automatic property valuation
AI compares thousands of market data points to estimate a property in real time with higher accuracy.
Impact: 70% time savings and improved valuation precision.
Helvira AI solutions already available for the real estate sector
Filtrez les intégrations selon vos besoins : intégration du chat, agents IA, industrie, ou outil spécifique. Ajoutez-les à votre plan et boostez vos possibilités.
Description
Features
Can’t find what you’re looking for?
Helvira creates custom AI connectors and agents tailored to your internal software, business processes, and security constraints. Your AI integrates exclusively and securely into your professional ecosystem.
AI solutions for businessesFAQ: AI in the real estate sector
Your most common questions about your industry.
Yes. Helvira can be trained on Swiss data and can include local factors such as cantonal norms, environment, or energy ratings (CECB).
Yes. Many tasks can be automated: reminders, rent indexation, payment tracking, incident management, and reporting.
Yes. By cross-analyzing market prices, local trends, and property-specific criteria, AI can identify investment opportunities or pricing adjustments.
Sales data, property characteristics, location, rental history, energy performance, and market evolution, for example.
Yes. Helvira can centralize and analyze data from multiple sources to optimize the performance of diversified property portfolios.
Cookie Preferences
We use cookies to improve your experience on our site and analyze traffic. Accept to continue or customize your preferences.