Cherre

## Overview Cherre provides a real estate data management and insights platform designed to collect, standardize, validate, and integrate diverse real estate data sources. The platform aims to centralize internal financial, operational, and third-party data, making it accessible and reliable for various business functions. Cherre's approach involves a Universal Data Model and a data fabric that incorporates public real estate data, enabling users to unify and analyze disparate datasets. The platform supports data ingestion from various sources through pre-built connectors, a submission portal for third-party vendors, and SFTP. It emphasizes data validation and observability to ensure data quality and trust. Cherre facilitates the delivery of processed data to cloud environments, business applications, BI platforms, and AI solutions, supporting downstream workflows and analytical initiatives. ## Key Features * **Data Ingestion and Connection:** Connects internal financial, operational, and third-party data using pre-built connectors, a submission portal for external data providers, and SFTP. Supports structured and unstructured data. * **Data Standardization and Modeling:** Utilizes a Universal Data Model and a real estate data fabric to standardize, transform, and model data. The data fabric includes mapped and resolved public data such as property characteristics, deeds, valuations, and geospatial boundaries. * **Data Validation and Observability:** Incorporates data profiling, automated business validation, and custom logic to ensure data accuracy and provide visibility into the data journey. * **Data Egress and Integration:** Delivers clean, validated data to various destinations, including cloud environments (e.g., Snowflake, AWS, Azure, BigQuery), BI tools, and other business applications via API or direct egress. * **Geospatial Capabilities:** Offers geospatial queries and the ability to connect and aggregate data based on identifiers or geospatial layers, including custom boundaries. * **API Access:** Provides an API for retrieving data from connected datasets, performing geospatial queries, conducting large data pulls, and running aggregate analyses. ## Who It's For Cherre is designed for real estate asset managers, investment managers, and data science teams within the real estate industry. It caters to organizations seeking to centralize and standardize their real estate data for portfolio optimization, risk evaluation, market analysis, regulatory reporting, and the development of AI initiatives. The platform is suitable for entities managing large and complex real estate portfolios that require robust data integration and validation capabilities. ## Notable Strengths Cherre's strengths include its extensive network of over 150 data and application partnerships, which facilitates broad data integration. The platform's Universal Data Model and real estate knowledge graph, encompassing over 3.3 billion addresses and public data, provide a foundation for data standardization and enrichment. Its focus on data validation and observability aims to build confidence in data quality for critical business decisions. Cherre supports flexible data egress options, allowing organizations to integrate processed data into their existing technology stacks. The company states it currently powers over $3 trillion in assets under management.