Overview
Cherre is an enterprise-grade AI-powered real estate data platform designed to serve as the infrastructure layer for institutional investors, lenders, and asset managers. Its technical architecture centers on CoreGraph, a proprietary knowledge graph that automatically resolves and connects disparate data sources—including public records, premium third-party feeds (like CoreLogic or Moody's), and internal proprietary datasets—to a unique asset ID. By 2026, Cherre has positioned itself as the industry standard for real estate 'Digital Twins,' offering seamless synchronization with Snowflake, BigQuery, and Databricks. The platform eliminates the manual 'munging' of real estate data, allowing firms to build custom models for risk assessment, underwriting, and market expansion. Its AI-driven normalization engine handles address parsing, tax ID mapping, and ownership structures with high precision, enabling real-time portfolio oversight. The platform is built for high-scale operations, supporting billions of data points across global markets, and provides a robust GraphQL API layer for developer integration into custom workflows and proprietary front-end applications.