Unifying Off-Plan Real Estate Through AI and Centralized Tech Infrastructure

We spoke to Imran Khan, CEO and Founder of Invespy, to discuss how the platform is leveraging AI and a centralized data layer to transform the off-plan real estate ecosystem.

What technology sits behind the Invespy platform, and how does it connect developers with brokers while managing inventory, project information, leads and transactions in real time?
Invespy is built on a modern, cloud-based and AI-powered technology architecture designed specifically for the off-plan real estate ecosystem. At its core, Invespy connects developers, brokerages and individual brokers to accelerate the sales cycle.

Rather than project data sitting across spreadsheets, PDFs, WhatsApp groups, emails and separate CRM systems, Invespy brings structured project information, inventory, payment plans, commissions, offers, marketing collateral and sales activity into one environment. AI is embedded into the platform to make this information easier to access and act on.

Invespy uses technologies including OpenAI to power intelligent search, conversational assistance, project discovery and recommendation capabilities, while ElevenLabs supports advanced voice interaction within Ivy, Invespy’s AI-powered real estate assistant. This allows brokers to interact with project and inventory information in a much more natural way, through text or voice, while helping them identify relevant opportunities faster.

From the developer side, information can be updated centrally so changes to inventory, pricing, project details or commercial terms can reach the broker network more efficiently and with greater consistency.
Ultimately, the technology is designed to shorten the distance between developer information, broker action and transaction, while using AI to make that process faster, more intelligent and increasingly personalised.

How does Invespy address one of the biggest challenges in property sales: fragmented information across developers, brokerages and individual brokers? Is the platform creating a centralised data layer for the brokerage ecosystem?
Yes. We believe this is one of the most important problems Invespy can solve. Real estate has digitised significantly, but much of the distribution layer remains fragmented. A broker may receive inventory through a spreadsheet, a new commission structure through WhatsApp, marketing collateral through a shared drive, a payment-plan update through email and lead information through a completely separate CRM.

The problem is therefore not a lack of information. It is that the information exists in too many places, in different formats, and becomes outdated very quickly. Invespy is creating a centralized data layer between developers and the brokerage ecosystem. Projects, inventory, commercial terms, marketing material, broker activity and ultimately transaction information can all sit within a common structured environment.

That has implications far beyond convenience. Once information is structured, it becomes searchable, comparable and actionable. A broker can identify suitable inventory faster; a brokerage can understand what its teams are engaging with; and developers can gain greater visibility into how their projects are being distributed and where broker demand is developing.

Our longer-term vision is for Invespy to become a common technology infrastructure through which information can move more efficiently between the supply side and the distribution side of the off-plan market.

What role will AI and automation play in the platform? Are you looking at AI for matching brokers with relevant projects, lead qualification, sales recommendations, or predicting which properties are likely to generate demand?
AI will increasingly sit at the centre of the Invespy experience. The first opportunity is to solve a very practical problem: there is simply too much information for an individual broker to process manually. Dubai alone has hundreds of active projects, with different prices, locations, payment plans, commissions, inventory positions and buyer profiles.

Our AI layer, including Ivy, Invespy’s AI-powered real estate assistant, is being designed to transform that information into intelligence. Instead of searching manually through projects, a broker should eventually be able to ask questions such as: Which projects would suit an investor with AED 2 million looking for a high-growth area? Which available units have a post-handover payment plan? Which projects currently have the strongest broker incentives?

Beyond conversational search, we see AI supporting several areas: personalised project recommendations, matching brokers with projects based on their specialisation and activity, lead qualification, next-best-property recommendations and automated project briefings. As the data set becomes richer, another important layer will be predictive intelligence.

By analysing anonymised and aggregated signals such as searches, project views, saves, enquiries, inventory movement and transaction activity, the platform could identify emerging areas of demand before they become obvious in transaction data.

The ambition is not for AI to replace the broker. It is to give a broker who may previously have needed hours of research the ability to reach the right recommendation in minutes.

How does the platform improve transparency around commissions and payouts, and what technology enables faster commission processing compared with traditional brokerage models?
Commission structures in off-plan real estate can become surprisingly complex. There may be different commission percentages by project, unit type, volume, campaign or time period, as well as additional cash bonuses and broker incentives. Historically, much of this information has been communicated manually, which creates opportunities for confusion.

Invespy brings the commercial terms closer to the transaction itself. A broker can see the applicable commission, incentive or sales offer alongside the relevant project rather than having to locate a separate communication. The same principle applies once a transaction takes place. By creating a structured digital record around the booking and transaction, the platform can provide greater visibility into where a deal sits within the process and what commercial terms apply to it.

Technology can also remove many of the manual steps that traditionally slow commission administration. Transaction records, supporting documentation, broker information and applicable commission structures can be captured digitally and connected through workflow automation rather than being repeatedly reconciled across emails and spreadsheets.

As Invespy develops deeper integrations across developer, brokerage and transaction systems, the objective is to make commission processing more transparent, traceable and significantly more efficient. For us, the important change is visibility. A broker should not have to chase multiple parties simply to understand what they have earned and where that payment sits in the process.

Real estate platforms increasingly have access to large amounts of behavioural and transaction data. How does Invespy plan to use data analytics to help brokers make better decisions while protecting sensitive customer and developer information?
Data delivers real value when it enables individuals to make better decisions. One of Invespy’s biggest long-term opportunities is the ability to understand both market activity and market intent. Transaction data tells you what has already happened. Behavioral data can provide an indication of what the market may be interested in next.

For example, aggregated platform data could show that brokers are increasingly searching for a particular community, that engagement with a certain unit type is accelerating, or that projects within a particular price range are being saved and shared more frequently.

Those signals can help brokers understand where buyer interest may be developing and help developers understand how the market is responding to their inventory. However, there is an important distinction between generating intelligence from data and exposing individual user data.

Our approach is to use aggregated and, where appropriate, anonymised data to generate market insights while applying strict controls to commercially sensitive developer information, brokerage data and customer information.

Access to information should also be determined by the user’s role and relationship with that data. A developer, brokerage administrator, sales manager and individual broker do not necessarily require access to the same information.

We believe that one of the most valuable assets Invespy can eventually create is not simply a large database of property information, but an intelligence layer for the off-plan market, one that tells what is changing, where attention is moving and what opportunities may be emerging.

Cybersecurity and data privacy become increasingly important when a platform connects developers, brokers and potentially customer information. What security and access controls have been built into the Invespy platform?
Security has to be fundamental to the architecture of a platform like Invespy because different participants are sharing information with very different levels of sensitivity. The platform is designed around role-based access and the principle of least privilege, meaning users receive access based on their organisation, role and the information required for them to perform that role.

This is particularly important when distinguishing between information intended for the entire broker network, brokerage-specific information, developer-controlled information and potentially customer or transaction-related data. The technology architecture is also designed to support encryption of information in transit and at rest, secure authentication, controlled API access, auditability of critical actions and separation between development, staging and production environments.

As the platform expands and more integrations are introduced, cybersecurity is not something we view as a one-time technology implementation. It requires continuous monitoring, testing and strengthening of the platform as both the user base and the sensitivity of the information increase.

Just as importantly, our data philosophy is based on collecting and using information for a defined purpose. Building intelligence does not require making sensitive customer, brokerage or developer data universally accessible. Trust will ultimately be as important to Invespy’s growth as technology itself.

Do you see Invespy evolving beyond a marketplace into an operating platform for the real estate brokerage ecosystem, and what additional technologies or capabilities could be added to the platform over the next few years?
Absolutely. In fact, we do not fundamentally view Invespy as a marketplace. A marketplace helps somebody discover a property. An operating platform helps the industry sell it. Our vision is for Invespy to increasingly support the full journey between a developer bringing inventory to market and a broker successfully completing a transaction.

Discovery and inventory are the starting point. Around that, we see an ecosystem developing that includes AI-powered project discovery, live inventory, personalised recommendations, digital project briefings, lead management, broker profiles, sales tools, CRM integrations, transaction workflows, commission tracking, analytics and developer-to-broker communication.

Within this evolving ecosystem, Ivy, Invespy’s voice AI, will play a central role in transforming how brokers interact with the platform. Instead of manually searching across multiple projects or filtering through static listings, brokers will be able to discover opportunities through natural conversation and intelligent recommendations. As AI becomes more embedded into the platform, Ivy will increasingly shift from being a reactive assistant to a proactive sales companion.

It will not only respond to broker queries but also anticipate needs, suggesting the right projects for specific buyer profiles, highlighting inventory that is likely to convert, and identifying opportunities that align with a broker’s historical success patterns. For developers, the same infrastructure can create a real-time distribution intelligence layer, showing which projects are receiving broker attention, which inventory is being considered, where demand is originating and how effectively projects are moving through the broker channel.

Looking ahead, we see significant potential to integrate a broader transaction ecosystem into the platform, encompassing CRM environments, digital documentation workflows, payment processing, mortgage services and additional layers of the PropTech technology stack.

The larger ambition is straightforward: Invespy should become the technology layer through which Dubai’s off-plan real estate ecosystem connects, communicates and transacts. That is a much bigger opportunity than building another property marketplace.