The number is $1.9 billion. That is the gross merchandise value eVoost AI says it has signed for its residential real estate clients [Wamda, June 2025]. The Abu Dhabi-based startup is not just selling another CRM. Its bet is that emotional profiling and AI agents can predict buyer demand before a single foundation is poured, turning the high-stakes, capital-intensive process of selling luxury apartments into a data-driven science.
The Pre-Construction Wedge
Real estate developers have long operated on instinct and historical comps. eVoost AI's platform aims to replace that with a live feed of behavioral intelligence. It analyzes potential buyers to create emotional and behavioral segments, then deploys AI-native virtual agents to guide them through digital sales funnels [Perplexity Sonar Pro Brief]. The core promise is optimization: of unit mix, pricing, and positioning, all informed by sensed demand rather than post-launch guesswork.
The company has activated 197 units across five projects to date [Wamda, June 2025]. In one reported residential launch, the platform processed 170 leads and secured 20 paid reservations in the first 20 days, a conversion rate north of 10% [LinkedIn, retrieved 2026].
A Cross-Border Play from Abu Dhabi
Headquartered in Abu Dhabi's Hub71 ecosystem, eVoost AI is built for a global clientele from day one. It has partnered with an unnamed UAE-based developer to run its digital sales infrastructure for projects in the United States, Europe, and Latin America [Wamda, June 2025]. This cross-border focus is a deliberate strategy, targeting large developers with portfolios that span multiple markets and regulatory environments.
The founding team, led by Cristian Pastrana and Koh Onozawa, has attracted regional capital that understands this ambition. The company's disclosed funding totals $2.2 million, anchored by two seed rounds.
| Metric | Value |
|---|---|
| 2025 Seed (Qora71) | Undisclosed |
| 2025/2026 Seed (First Drop VC) | $2.2M |
Where the Model Faces Pressure
The model is ambitious, and its success hinges on several factors. The reported $1.9 billion in signed GMV and an additional $1.5 billion in late-stage negotiations are company-provided figures [Wamda, June 2025]. While they indicate early commercial activity, the true test will be public case studies with named developer partners and transparent metrics on sales velocity and price attainment.
Competition is another factor. While the startup lists monday.com as a competitor, the real challenge may come from established proptech platforms expanding into predictive analytics or from large CRM vendors building similar AI capabilities. eVoost AI's differentiation rests on its deep, emotion-focused behavioral segmentation and its specific focus on the pre-construction phase, a niche it must own decisively.