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Cherre

Real estate data platform with AI-powered analytics connecting public records, MLS, and alternative data

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About Cherre

Cherre is an enterprise real estate data platform that connects, cleanses, and normalizes data from disparate sources — public records, MLS feeds, IoT sensors, alternative data — into a unified property graph. Institutional investors, insurance companies, and large brokerages use Cherre's AI-powered analytics layer to answer complex cross-source questions and build proprietary models.

Key Features

Unified Property Graph

Connects 200M+ US property records across 40+ data sources into one searchable graph.

AI Data Normalization

Automatically resolves property identifiers and reconciles conflicting data across sources.

Custom Analytics Layer

Build and run proprietary models directly on Cherre-normalized data.

Real-Time Updates

Public record filings, MLS changes, and permit activity ingested within 24 hours.

Data Science Workspace

Python and SQL notebooks for data scientists to explore and build on real estate data.

Use Cases
Institutional real estate investment research
Insurance property risk scoring
Brokerage market intelligence platforms
Proptech product data infrastructure
Regulatory compliance and reporting
Pros & Cons

Strengths

Deepest data integration in the market, purpose-built for real estate data science, strong data governance.

Limitations

Enterprise pricing with multi-year contracts, requires data science expertise, not suited for individual agents or small teams.

Tags
data-platformanalyticsinstitutionaldata-integrationproperty-graph