Bringing unstructured and structured data together using a semantic data management platform

Bringing structure to real estate data

About 90% of all enterprise data is unstructured or semi-structured, blocking the potential of analytics and making the application of algorithms next to impossible. Our internally developed data parsing algorithms have been designed to capture and structure information out of the most common forms of unstructured data, appraisal reports, lease contracts, transactions and mortgage deeds.

Semantic data & ontology

Our data management platform has been designed and developed around a proprietary Real Estate Ontology — a knowledge graph for the real estate domain that allows GeoPhy to rapidly structure and link heterogeneous data sources. This allows us to gather and link thousands of different data sources into one consistent overview of the global real estate market.