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