Residential Real Estate News
Global Buyer Demand and Seller Supply Aggregation Platforms in Development
WORLD PROPERTY MARKETS, a Miami-based proptech firm, is developing large-scale digital infrastructure to connect global buyer demand with property supply in real time.
The initiative targets persistent inefficiencies in real estate, where trillions of dollars in annual transactions remain constrained by fragmented markets, manual processes, high transaction costs, and cross-border barriers including language and data inconsistency.
To address these challenges, the company is building a dual-platform architecture designed to aggregate and structure both buyer demand and property supply into a unified, AI-driven matching system.
At the center of the strategy is WORLD PROPERTY SEARCH, an emerging global property listings search engine designed to index, map, and organize the world's active property inventory from online sources. The platform captures and analyzes user behavior, search activity, and preferences to identify high-intent buyers, routing those signals in real time to the company's listing platform to enable more precise targeting of available inventory.
The supply layer is anchored by GLOBAL LISTINGS, which is being upgraded into a borderless, AI-enabled multiple listing system. The platform already aggregates more than 3 million active listings across 112 countries and is being developed into a new AI-native global supply listings engine for all real estate categories.
Company founder Michael Gerrity said that, when paired together, these two AI-driven platforms will form a closed-loop, recursive learning matching engine that continuously improves through live market activity.
"We are building systems that learn from both sides of the transaction," Gerrity said. "The objective is to create a unified operating layer for global real estate--integrating demand, supply, and financing into a single, intelligent framework that works across geographies and asset classes."
The company is also developing SENTIENT MORTGAGE, an AI-driven financing layer intended to connect qualified buyers with optimal lending sources.
"These platforms are designed to work for their real estate customers, not compete against them," Gerrity said. "Rather than operating as a broker or referral-fee lead platform, we are positioning the entire ecosystem as neutral infrastructure."
Revenue is expected to come from selling targeted access to global audience demand to sellers and lenders, alongside premium data services, cloud infrastructure revenues, and enterprise analytics--not from commissions or referrals.
The strategy reflects a broader shift in proptech toward platform-based infrastructure. By structuring fragmented supply and aggregating demand at scale, WORLD PROPERTY MARKETS aims to reduce customer acquisition costs for sellers and lenders, while improving property search and discovery for buyers--ultimately accelerating transaction timelines and increasing market efficiency.
Development is ongoing, with the company building its new search engine and evolving its existing listings platform with AI, while expanding worldwide listings datasets, refining matching algorithms, and scaling its data architecture. Once both platforms are deployed, execution will depend on achieving sufficient scale across both the global buyer demand and seller supply sides.
However, given GLOBAL LISTINGS' existing scale and reach today, the company is well positioned to achieve this goal.
