The problem
Property developers and investors spend heavily on manual analysis of areas and on analysts to spot opportunities, then go through a slow, costly process to estimate construction costs. It is largely manual work, prone to inaccuracy, and out of step with what modern data can do.
What we did
We helped build PropData, an AI platform that judges a property by combining data about the building with real-time monitoring of the entire neighbourhood around it. Proprietary models predict construction costs and connect developers to potential capital lenders, while scraper data, historical purchases, and sentiment analysis feed a model that supports and predicts market movements. The result is property insight available in real time, around the clock.
The outcome
A data-driven decision tool for commercial real estate that replaced slow, expensive manual analysis with predictive insight, since exited.