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Cherre Real Estate AI

AI-powered real estate data platform connecting property data across sources for institutional investors.

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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

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Pricing

Free

Free

Access to core data aggregation and matching features with standard query limits; suitable for small-scale analysis and exploration

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Get Cherre Real Estate AI
  • Always free
  • No credit card