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PropTech

DXBinteract Connects Dubai Property Data to ChatGPT and Claude

DXBinteract and fäm Properties integrate Dubai real estate market data into ChatGPT and Claude for instant AI-driven property analysis.

Dubai-based property data platform DXBinteract is now available through ChatGPT and Claude, giving property brokers, buyers and investors a new way to access market information. The integration was introduced by fäm Properties, which developed the platform.

Users can connect DXBinteract to either AI assistant through a custom connector. Once signed in, they can ask questions in everyday language and receive answers drawn from the platform's property market data. This includes information based on Dubai Land Department records.

Property market data through AI assistants

Users can investigate many elements of the residential property market of Dubai without going through multiple data sources.

For instance, investors can find out the communities with the highest rental yields as well as year-on-year price changes. DXBinteract provides a ranking of places based on gross rental yields, price changes per year and number of transactions. Areas with insufficient transaction activity are excluded from rankings to avoid presenting unreliable figures.

Buyers can also check whether an apartment's asking price appears high compared with recent transactions. The application gives an estimate of the value and a price range of properties. The estimates are based on median price per square foot in the area and the recent sales of properties of the same size.

Developer records and investment calculations

Developer delivery performance is another feature available through the integration. Users can examine how many projects were handed over on time, how many experienced delays and how many remain overdue. The platform also provides the median delay in days.

Users can compare up to six Dubai communities side by side. Other available information includes off-plan project sales, construction progress, upcoming handovers and expected future housing supply.

The platform also supports calculations related to gross rental yield, investment payback periods and mortgage affordability. Users can estimate the upfront cash required for a property purchase as part of their assessment.

Firas Al Msaddi, founder and CEO of fäm Properties, said the platform was built to give the wider property market access to transaction information, rather than limiting it to the company's own operations.

Fateh Al Msaddi, founder of DXBinteract and COO of fäm Properties, said the AI connection makes the platform's property intelligence easier to access.

The service is available now. Its integration with ChatGPT and Claude adds another way for market participants to examine property prices, compare locations and assess developer performance using transaction-based information.