From Abu Dhabi to six markets: eVoost AI’s global growth play
CEO Cristian Garcia Pastrana discusses scaling an AI-native sales platform, its $1.4bn Aliseda agreement and why Abu Dhabi is the launchpad for eVoost’s international expansion
01 September, 2026
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Abu Dhabi-based eVoost AI is stepping up its international expansion after signing a three-year agreement with Spanish real estate asset manager Aliseda covering an initial commercialisation volume of close to $1.4bn.
Founded in May 2024, eVoost is seeking to tackle one of the property industry’s longstanding challenges: turning buyer interest into completed transactions. The company has developed an AI-native platform spanning demand analysis and pricing through to buyer qualification and multilingual sales agents operating across WhatsApp and voice. It says the technology is now live in six markets and supports more than $3.5bn in signed developer project volume.
The Aliseda agreement represents a potentially important shift in that growth model, giving eVoost access to a broader portfolio through a single institutional platform rather than expanding developer by developer. The company is also extending its partnership with Hercesa into Romania, adding to operations across the UAE, Spain, Portugal, Georgia and the US.
Here, CEO Cristian Garcia Pastrana talks about the economics behind eVoost’s technology, its international ambitions and why he believes Abu Dhabi provides the right base from which to build a global technology business.
What gap in the real estate market led you to establish eVoost AI, and how has the company’s original proposition evolved since its launch?
Three failures brought us here.
In my experience as a real estate developer and broker in the past, real estate leads convert below 2 per cent. Ninety-eight out of a hundred people who raise their hand for a home never buy one, from anyone. In any other capital-intensive industry that would be a crisis; here it’s been normalised. It is the largest unmonetised demand pool in any asset class.
The developer doesn’t own the knowledge of their own buyer. Not because anyone withholds it, but because the process is analogue. Preferences live in a WhatsApp thread, objections in someone’s head, intent dies in a spreadsheet. So the industry designs against the competitor instead of against demand: you build what the tower next door built and price against their list. A technology gap, not a talent gap, and it means the most capital-intensive decision in the business is made without its most valuable input.
And often, buying a home is a bad experience. Not difficult, just bad. No speed, no transparency, no continuity, nobody available who “speaks your language” when you need it most. The largest purchase of a person’s life, with an experience that is worse than ordering food. Human teams can’t be everywhere, communicating well in every native language, at every hour the customer is available. Today’s technology can fix this.
Same failure three times: the industry decides what to build without the buyer, sells without really knowing them, serves without a system.
We founded eVoost AI in May 2024 to fix this sequence. We started with intelligence: predict demand, price to elasticity, design to real buyers. Developers validated it in weeks, then asked the question that changed the company: who executes it? All the hard-won knowledge a human had to compile then gets crushed into a static report.
So we built an AI-native solution. An operating system that defines the product’s optimum go-to-market, then sells it: AI agents running the buyer journey 24/7, multilingually, on WhatsApp and voice, fully white-labelled under the developer’s brand to maintain trust, similar to what Shopify did for commerce. The commercial teams aren’t replaced; they get help from agents that do much of the analogue work for them: every conversation becomes structured data, and every buyer arrives already understood. And the knowledge accumulates on the developer’s side of the table instead of evaporating.
That’s the part we didn’t initially design for. Because eVoost now sits across both the development decision and the buyer transaction, every interaction, not just every sale, feeds a shared intelligence layer we call the Brain. Every buyer interaction and new project makes the next one sharper.
Today, eVoost is live in six markets and supporting more than $3.5bn in signed developer project volume.
How does eVoost use AI to improve property sales, and what measurable impact has it had on lead qualification, conversion rates and sales timelines?
The AI doesn’t help sell. It does the selling, and it learns while it does. These are the three layers, in sequence:
- Before the launch, the system defines what to build and how to price it against live demand, not solely based on the competitor’s list. Product-market fit is decided before capital is committed, not discovered after the launch underperforms.
- At the moment of contact. AI agents respond to potential buyers in seconds, 24/7, in the buyer’s native language, over WhatsApp and voice, with real conversations, not chat widgets. Every lead is qualified from the first interaction: budget, motivation, timeline, objections. No lead waits until Monday morning or sits in a queue; thousands of leads are activated in minutes instead of weeks. Time is the single biggest source of leakage in the industry.
- Across the journey. Each buyer moves through an emotional journey adapted to their profile. An investor and a family looking at the same building see different arguments for it. The developer sees this entire funnel live: which units are popular or underperforming, where price is wrong, which leads are closest to signing.
About the numbers: in live projects we’re seeing roughly a 4x conversion efficiency per lead, 300 per cent higher buyer engagement, and go-to-market cycles compressed by up to 6x, largely because pre-launch demand is already validated and the sales layer is running at machine speed from day one. Full-funnel visibility, which most developers have never had before, and around 25 per cent higher marketing ROI from cuts to spending on demand that was never going to convert.
But the metric I care most about isn’t any of those. It’s how quickly the Brain learns and improves. Every interaction allows teams to have a truly intelligent system embedded in their internal workflows.
What does the three-year agreement with Aliseda cover, and how significant is it commercially for eVoost’s next stage of growth?
Aliseda is Spain’s largest real estate asset manager. The agreement runs three years and covers their new-build portfolio, starting with a commercialisation volume of close to $1.4bn.
Structurally, it’s simple: Aliseda brings the assets, the developer relationships and the market depth. eVoost brings the AI-native layer that runs the commercial cycle end to end: demand analysis before launch, pricing, buyer qualification, and the 24/7 multilingual agents that carry each buyer through to contract signature. The first deployments are already live: IQONIQ Torre de Cristal in Vigo, and Origo Mare and Residencial Las Arenas in Fuerteventura.
Why this matters more than its size suggests: it changes how we scale.
Until now we have grown developer by developer: one contract, one portfolio, one integration. Aliseda creates a different growth model. We embed once within a platform that aggregates hundreds of developments and dozens of developers, with a continuous supply of assets and buyers. That is real distribution leverage, which is what separates a good software company from an infrastructure company.
It also accelerates learning. Our system improves with every buyer interaction, and a portfolio of this density concentrates more interactions in one place than any single developer can generate. The intelligence we build on Spanish residential demand doesn’t stay in Spain; it feeds the same Brain that operates in the UAE, the US, Portugal, Georgia and Romania. And it validates the model where validation is hardest.
Aliseda is an institutional asset manager with proven fiduciary discipline. Passing that filter is the reference that opens the next tier for eVoost: institutional portfolios, servicers and sovereign-scale asset owners. That’s where the next phase of growth sits for us.
Why did eVoost choose Abu Dhabi as its base, and which parts of Hub71’s ecosystem have directly supported its international expansion?
We chose Abu Dhabi because we wanted to build globally from here.
For what we do, this market is the most demanding in the world. Abu Dhabi and Dubai run at a velocity no European market matches: launches can sell out in days, buyers come from dozens of nationalities, and off-plan homes are often sold before construction begins.
If a system can hold up here, multilingual, 24/7, at that absorption speed, it holds up anywhere. We deliberately put our hardest test at the centre of the company rather than at the edge of it. Everything we build is stress-tested against this market first, then deployed to Spain, Portugal, Romania, Georgia and the US.
Real estate here is a national strategy, not just an asset class. Land, urban planning and residential supply are instruments of economic diversification. That means the decision-maker isn’t only thinking as a developer in the short term but in decades. That’s the client we’re built for.
Furthermore, the UAE decided to be an AI country before most of the world took the question seriously. Regulatory clarity, sovereign commitment to compute, capital that funds infrastructure rather than features. For an AI-native company, that alignment is worth more than any single incentive.
Regarding Hub71 and ADGM specifically: ADGM gave us a common-law holding structure that institutional investors and international clients recognise without explanation. That alone removed months of friction. Hub71 gave us three things: legitimacy in a market where trust is earned relationally and a name behind you fast-tracks every first meeting; proximity to capital and to the region’s largest developers in the same building; and a technical environment where AI infrastructure is a shared standard rather than a procurement negotiation.
The result is a company headquartered in Abu Dhabi, operating in six markets, profitable in its first year, with more than $3.5bn in signed developer project volume. International founding team, Emirati base, global reach. We’re exporting technology from the UAE.
What does the Hercesa Romania partnership involve, and how will eVoost manage differences in property markets, consumer behaviour, data regulation and AI rules as it expands further?
Hercesa is a 50-year-old family developer with 30,000 homes delivered. They already use eVoost in Spain and Portugal; Romania is the extension of that relationship into a third country, and our sixth market.
Concretely: Hercesa Romania has delivered over 1,200 apartments in Bucharest and has more than 600 units under development across Stellaris Residencias, Vivenda Prime and the final phase of Vivenda Residencias. eVoost runs the commercial layer for that portfolio: demand analysis, buyer qualification, and 24/7 multilingual agents inside Hercesa’s own digital estate, under Hercesa’s brand. Our economics are tied to their sales: onboarding plus performance. We win when they sell.
Romania matters because it’s an early market. Strong fundamentals, rising urban demand, and almost no AI penetration in residential sales. Early-adopting markets often set the standard for how the category develops, and we’d rather be the company defining that standard than arriving after someone else does.
With respect to data and AI regulation, our position is deliberately counterintuitive: we treat the strictest regime as our design baseline. In our category, I see it as a protection. Real estate is a high-value, deeply personal and highly regulated transaction.
Institutional asset owners and governments need systems they can understand, audit and trust. By building for that standard from the outset, we have created a platform that is ready to operate across markets, quickly, responsibly and durably.
