Without Core, each dataset lives on its own.
All BrightCat datasets unified at the property level.
Core real estate data connecting listings, sold, rental, and commercial signals at the property level.
Right now, listings live in one file. Sales in another. Rentals in a third. There is no way to see the full story of a single property across all three.
BrightCat Core connects all datasets, standardizes property identity, and preserves lifecycle continuity. Everything ties back to one property.
This is how you turn five data files into one usable system.
You cannot see whether a home that listed in March sold in June. You cannot tell if a sold home became a rental. You lose the thread.
Core data connects multiple real estate datasets into a unified property-level view.
In data terms, core data links multiple real estate datasets into a unified property-level view.
A clean property ID, links across all datasets, the full timeline of each property, and consistent formatting throughout.
One row per property. Everything we know about it, in one place.
Track a home from listing to sale to rental. Spot investors who buy and rent out. Build models on full property histories, not fragments.
This is the foundation of property intelligence used for analytics and decision systems.
Used for real estate data integration, analytics, and AI-driven decision systems.
When data is split across files with no link between them, your analysis has holes. Core fills them.
Core eliminates the gaps.
Across the Canadian property market. Used by telecoms, insurers, and financial institutions across Canada.
Updated weekly. Reflecting real-time market activity.
Request a sample — listings, sold, enrichment, and HPI joined at the property level.