Abu Dhabi AI proptech, eVoost raises $2.2 million
eVoost AI, the Abu Dhabi-based proptech startup, has raised $2.2 million in a funding round led by First Drop VC, which will be used to accelerate the development of its AI-powered residential sales platform and expand into international markets. The company manages more than $3.5 billion in real estate assets under commercial agreements across Europe, the UAE, and the United States.
The round also included participation from a syndicated investment vehicle linked to Hub71 and backed by Mubadala Investment Company, alongside strategic investors and angel backers with exposure to markets including Romania and the UAE.
Founded by Cristian Pastrana and Koh Onozawa, former co-CEO of crypto platform Bit2Me, eVoost AI is building a data-driven platform designed to modernise residential property sales through artificial intelligence, predictive analytics, and automation.
The platform helps developers identify buyer demand before construction is completed, allowing them to optimise pricing, positioning, and sales strategies using AI-generated insights and behavioural data.
“This round allows us to accelerate the construction of an intelligent operating system for residential commercialisation,” said Cristian Pastrana, co-founder and CEO of eVoost AI. “Our goal is to transform a traditionally fragmented and analogue sector into one governed by data, AI, and automation.”
eVoost AI currently operates from Abu Dhabi, with additional teams in Madrid and Gijón, and plans to strengthen its presence across Spain, Portugal, the UAE, and the United States while expanding into new markets.
According to Manu Nieto, co-founder of First Drop VC, the investment reflects growing interest in solving inefficiencies within the housing market through technology-driven solutions.
“At First Drop, we believe access to housing is one of the major global challenges,” Nieto said. “Many developers still build without truly understanding their end customer. eVoost’s technology identifies demand and optimises sales even before construction begins.”
