Cherre Real Estate AI
AI-powered real estate data platform connecting property data across sources for institutional investors.
What is Cherre Real Estate AI?
Cherre is a real estate data platform built for institutional investors who need to analyse property information from multiple sources. It aggregates data from public records, MLS listings, and other property databases into a single interface, reducing the time spent hunting across different systems. The platform uses AI to standardise and match property records, making it easier to identify patterns, compare markets, and support investment decisions. Rather than replacing traditional research methods, Cherre functions as a centralised hub where investors can cross-reference information and access cleaned datasets for analysis.
Key Features
Data aggregation
combines property information from public records, MLS systems, and other sources into one platform
Record matching
uses AI to identify and link duplicate records across different data sources
Standardised formatting
normalises property data so information is consistent and comparable across datasets
Market analysis tools
allows users to filter, sort, and analyse property data by location, asset type, and other criteria
API access
enables developers to pull standardised property data into their own applications and workflows
Bulk data export
supports downloading large datasets for further analysis in spreadsheets or BI tools
Pros & Cons
Advantages
- Free access removes barriers to entry for smaller investors and individual researchers
- Consolidates fragmented property data, saving time on manual research and cross-referencing
- AI-powered matching reduces errors from duplicate or conflicting records
- Useful for portfolio analysis, market comparison, and due diligence across multiple properties
Limitations
- Data quality depends on the underlying sources; gaps or inaccuracies in public records will carry through
- Limited to properties covered by integrated data sources; coverage may vary by region
- Free tier likely has restrictions on volume, refresh frequency, or geographic coverage compared to paid alternatives
Use Cases
Institutional investors analysing portfolios across multiple markets to identify trends and outliers
Real estate analysts preparing market reports and comparing property valuations
Due diligence teams verifying property records and ownership information before acquisition
Developers or fund managers evaluating deal flow and screening investment opportunities
Researchers studying real estate market behaviour using standardised, cleaned datasets