dataHabibi AI Property Intelligence Platform Launches in Dubai

Dubai-based AI PropTech startup dataHabibi has launched a new property intelligence platform designed to make real estate research faster, more transparent and easier to understand. Founded by Ibrahim Qorraj and Haron Merzaie, the company brings together property prices, transaction histories, rental yields, market forecasts, project information and area-level trends in a single research platform.

The launch comes as Dubai’s real estate market continues to generate large volumes of property information. Buyers can access asking prices through property portals, agents can obtain market reports and investors can compare projects, buildings and communities. However, the challenge is often not finding information but determining which data points are relevant before making a major financial decision.

dataHabibi AI property intelligence platform is designed around that challenge. Instead of operating as another property listing service, the platform focuses on research and analysis. It does not carry property listings and advertisements. Its objective is to help users understand what is happening in the market and use that information to evaluate individual properties, buildings, projects and communities.

The company’s approach places market evidence at the centre of property research. A buyer evaluating a home, for example, can examine comparable transactions instead of relying solely on the seller’s asking price. An investor can assess rental income, yields, supply and upcoming handovers before deciding whether a property fits an investment strategy. Brokers can use the platform to prepare client discussions, while developers can compare market activity and demand across different locations.

AI integrated into the property research process

According to dataHabibi, artificial intelligence is not simply being added as a conversational interface. The company has integrated AI into the underlying research process to organise information, compare properties and identify useful market patterns.

The platform is designed to help users analyse building performance, property prices, rental yields, transactions and market momentum. It can also support forecasts and other research functions, allowing users to access information without manually assembling multiple datasets or creating spreadsheets.

This is particularly relevant in Dubai, where properties that appear similar can have significantly different prices and investment characteristics. Location, building quality, transaction history, rental performance, available supply and future project handovers can all influence the value and potential of a property.

By bringing these factors together, dataHabibi wants to give users a broader view of the market before they make a purchase or investment decision.

“AI should earn its place by making a hard decision easier,” said Ibrahim Qorraj, co-founder of dataHabibi. He noted that Dubai’s property market moves quickly and that buyers and agents may not have the time to manually examine every relevant record.

The company’s objective is therefore to use AI to handle much of the research workload while presenting the findings in accessible language.

Property intelligence without listings

One of the defining features of the platform is its decision to avoid property listings. Rather than competing with traditional portals that primarily connect buyers with available properties, dataHabibi is positioning itself as a research and intelligence layer.

The distinction could be important for users attempting to separate market evidence from sales information.

An asking price, for instance, represents what a seller wants for a property. It does not necessarily indicate the price at which a comparable property has actually been sold. Transaction data can provide a different perspective by showing recorded activity in the market.

Similarly, rental yield can provide investors with information that is not immediately visible from a property’s purchase price. Combining purchase values with rental performance, transaction history and future supply can give investors a more complete picture of potential returns and risks.

dataHabibi’s platform is intended to bring these elements together so users can assess a property from multiple perspectives.

Tools for buyers, investors and property professionals

The current platform includes several research capabilities covering Dubai’s property market.

These include building and project research, developer intelligence, transaction analysis, rental-yield information, off-plan pipeline data, market forecasts and a Dubai property price index.

The company says its market signals are refreshed daily. This is intended to provide users with information that evolves alongside the market rather than relying exclusively on static reports that can become outdated.

For buyers, the platform can provide a way to investigate a building or area before committing to a purchase. Users can compare recorded transactions and broader market performance to assess whether an asking price appears consistent with available evidence.

For investors, the focus can shift towards rental yields, supply, demand, transaction activity and future developments. These factors can help investors understand not only current conditions but also potential changes in an area.

For brokers, the platform can reduce the amount of manual research required to prepare client discussions. Instead of collecting information from multiple sources, an agent can use the platform as a starting point for a property brief.

Developers can also use market intelligence to compare communities, projects and competing launches. Understanding where demand is increasing or how pricing is developing across different areas can support decisions around new developments and positioning.

Moving from research to automated action

dataHabibi is also expanding its product beyond basic research. The company plans to introduce automated valuation ranges, broker-ready PDF reports, personalised investment briefs and alerts related to changes in property prices, yields and transaction activity.

These planned features are designed to convert market research into practical workflows.

For example, an investor could receive a research brief on a building before visiting it. A broker could generate a client-facing report without spending hours compiling charts and market information. A buyer could compare an asking price against recorded transactions. A developer could monitor competing launches and changing demand patterns.

The broader objective is to reduce the time between obtaining property information and acting on it.

Haron Merzaie, co-founder of dataHabibi, said property decisions can involve some of the largest financial commitments made by individuals and investors. He argued that users should have access to market evidence and an understanding of the trade-offs involved rather than relying only on an asking price or sales pitch.

A changing PropTech landscape in the UAE

The launch of dataHabibi comes amid wider efforts to expand the use of artificial intelligence across the UAE economy. The UAE’s National Strategy for Artificial Intelligence 2031 has positioned AI as an important technology for economic development and productivity.

Dubai has also developed a strong environment for property technology, supported by digital government infrastructure, an active real estate market and an international ecosystem of buyers, investors, developers and technology companies.

Within this environment, the use of AI in real estate is moving beyond automation of administrative tasks. Companies are increasingly exploring how technology can help users interpret large amounts of market information and make more informed decisions.

For dataHabibi, the key challenge will be demonstrating that its technology produces practical value for users.

The company’s founders say the success of the platform should ultimately be measured by whether it helps someone avoid a poor property deal, identify a stronger opportunity or significantly reduce the time required for research.

A business model built around research

The platform is also following a model that separates property intelligence from listings and advertising.

According to the company, core tools are available without charge, while Pro access provides deeper transaction history, rental information and investment analysis.

The company says it wants to keep the research experience free from property listings and advertisements. This allows the intelligence itself to remain the primary product rather than serving as a tool to generate leads for property listings.

Such an approach could appeal to users who want to conduct independent research before speaking with a broker, developer or seller.

The platform does not aim to replace brokers, valuers or professional investment advisers. Instead, dataHabibi positions its technology as a research tool that can provide users and professionals with a stronger starting point.

Dubai as the first market

Dubai is currently the company’s primary market, but its founders believe the underlying technology could eventually be applied to other cities.

Real estate markets around the world face similar challenges. Property information is often distributed across different databases, government records, reports, portals and professional tools. Turning that fragmented information into useful insights can require considerable time and expertise.

A platform capable of combining those datasets and interpreting them through AI could therefore have applications beyond Dubai.

For now, however, dataHabibi is concentrating on the UAE market and its broad range of property segments, including buildings, communities, off-plan projects and rental investments.

The company’s launch reflects a broader shift in how technology is being applied to real estate. Instead of simply helping users find properties, AI-powered platforms are increasingly attempting to help them understand the market behind those properties.

For buyers and investors, that distinction can be significant. Finding a property is only the first step. Determining whether its price is justified, whether its rental performance is attractive, how comparable properties have performed and what future supply may look like are equally important parts of the decision-making process.

dataHabibi AI property intelligence platform is attempting to bring those questions into one research environment.

As Dubai’s property market continues to evolve, access to timely and understandable market intelligence could become increasingly important. dataHabibi’s approach is based on a straightforward proposition: rather than asking users to rely on predictions or sales pitches, give them the evidence, analyse it with AI and allow them to make better-informed decisions.

The company’s next stage will be to demonstrate whether that proposition can translate into measurable value for buyers, investors, brokers and developers. If it succeeds, dataHabibi could become part of a new generation of PropTech platforms where artificial intelligence is used not merely to automate property searches, but to improve the quality and speed of real estate decision-making.