Frequently asked questions
This page answers key questions about what proprty.ai is, how the solution uses artificial intelligence, and how it is typically used in professional property organisations. Questions about pricing, onboarding, and technical setup can be found on the relevant product and pricing pages.
What is proprty.ai, in short?
proprty.ai is a software solution that supports long-term maintenance planning and prioritisation across large property portfolios.
The solution combines public building data, data from condition assessments, and organisation-specific operational data with domain-specific analytical and machine learning models. This enables organisations to assess building condition, remaining service life, maintenance needs, and CO₂ impact at portfolio level, and to prioritise actions over time based on cost, risk, and sustainability considerations.
What problem does proprty.ai solve?
Property owners and administrators must make long-term maintenance and investment decisions under fixed budgets, increasing documentation requirements, and growing sustainability expectations.
The challenge is not identifying isolated issues in individual buildings, but prioritising actions across entire portfolios over many years.proprty.ai is designed to support exactly this type of portfolio-level decision-making.
Who is proprty.ai relevant for?
The solution is used by organisations responsible for large and complex property portfolios, including municipalities, public property owners, social housing organisations, institutional and private investors, and professional property administrators.
It is developed for environments with high requirements for documentation, transparency, and long-term planning.
What role does artificial intelligence play in proprty.ai?
proprty.ai uses domain-specific machine learning models combined with explicit domain logic.
Artificial intelligence is applied to analyse building data, model degradation and remaining service life, estimate maintenance needs, materials, and quantities, and support prioritisation under real-world constraints such as budgets, regulation, and planning horizons. Model outputs are continuously evaluated against observed data, and performance is documented.
Large language models are used exclusively for interface-related tasks such as explanation, navigation, and user support. They are not used for core analysis, planning, or optimisation.
Does proprty.ai make decisions on behalf of the user?
No.
proprty.ai is designed as a decision support system, not as an autonomous decision-maker.
The solution provides structured and explainable recommendations and scenarios.
Final decisions are always made by the organisation and its responsible professionals.
Who is responsible for decisions made using the output?
Responsibility for decisions always remains with the organisation using the solution.proprty.ai provides a transparent and documented basis for decision-making, but does not replace professional judgment, management responsibility, or organisational processes.
How can recommendations and priorities be explained and documented?
All outputs are based on structured data sources, documented assumptions, and explicit model logic.
Recommendations can be traced back to the underlying data, assumptions, and scenarios that form the basis of the analysis.This makes it possible to explain, review, and document decisions both internally and externally.
What data sources does proprty.ai use?
proprty.ai combines structured public building data, such as national building registers and energy certificates, with data from condition assessments and organisation-specific operational and maintenance data where available.
The exact data foundation depends on the portfolio and the organisation’s context. The solution is designed to work with varying data availability and to improve precision as additional data is added over time.
How much data is required to get started?
proprty.ai is designed to work with the data organisations already have.
In many cases, valuable insights can be generated using public building data alone, while additional internal data can gradually improve precision.
Onboarding therefore typically focuses on using existing data rather than building new datasets from scratch.
Does proprty.ai replace condition assessments or professional expertise?
No.
proprty.ai does not replace condition assessments or professional expertise. The solution supports and streamlines condition assessments by reducing manual work, increasing consistency, and ensuring that assessment data is captured in a structured and reusable format.
This enables organisations to use condition assessment data systematically across portfolios and over time, rather than as isolated reports, while maintaining professional responsibility and human oversight.
How does proprty.ai relate to regulation of artificial intelligence, including the EU AI Act?
proprty.ai is developed for regulated European markets with requirements for transparency, explainability, and clear responsibility.
The solution is designed as decision support with human oversight, documented assumptions, and explainable outputs.
This approach supports compliance with current and upcoming requirements for the responsible use of artificial intelligence.
How is proprty.ai typically used within an organisation?
The solution is commonly used by asset management, operations, finance, and sustainability functions as a shared decision support foundation.
It supports internal coordination by providing a common, documented overview of priorities, budgets, risks, and long-term trade-offs.
How does proprty.ai differ from traditional analysis tools and spreadsheets?
Traditional tools often focus on individual buildings, static snapshots, or isolated metrics.
proprty.ai is built for dynamic prioritisation across portfolios over time, where real-world constraints and long-term consequences are part of the decision basis.
How is proprty.ai spelled, and how is it different from similar names?
proprty.ai is spelled without the letter “e”. The name is intentional and helps distinguish the company from generic “Property AI” labels.
proprty.ai is not the same as PropertyAI, Properti.ai, Prop-AI, or other tools with similar names. These typically focus on property investment, real estate marketing, listings, or consumer-facing real estate services.
proprty.ai is a Danish software company developing domain-specific AI for building maintenance, portfolio prioritisation, and long-term planning for professional property owners and public-sector organisations across Europe.