The startup offers a financial database platform that aggregates real estate data from public, private, and internal sources to provide detailed market evaluations, property valuations, and tax assessments. This platform enables clients to reduce manual analytics costs and enhance their strategic decision-making processes.
Funding
$130.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Real estate asset managers often struggle with fragmented data sources, leading to an unclear, real-time view of asset performance. Inconsistent reporting due to varied systems and manual data collection further compounds the issue. This results in business planning bottlenecks and slow decision-making, hindering the ability to capitalize on market opportunities.
Solution
Cherre offers a data management and insights platform designed to unify disparate real estate data, providing a holistic view of asset performance, market trends, and financial data. The platform streamlines data ingestion, standardization, and validation, ensuring data integrity and reliability. By connecting internal systems and external data sources through pre-built connectors and a data submission portal, Cherre automates workflows and enables consistent, accurate reporting. This empowers asset managers to make quicker, more informed decisions, operate proactively, and achieve greater asset insight.
Target Audience
The primary target audience includes real estate asset managers and investment managers seeking to optimize portfolio performance, maximize yields, and increase operational efficiencies through data-driven insights.
Features
- Centralized platform for ingesting, connecting, and consuming real estate data across the organization
- Pre-built connectors for integrating with ERP solutions, deal management platforms, and leasing platforms
- Data Submission Portal for standardizing data collection from third-party vendors and investment managers
- Universal Data Model for standardizing, transforming, and modeling data for enriched insights
- API for retrieving data from connected datasets with geospatial query capabilities
- Reporting and analytics dashboards for consolidating reporting and improving visibility into asset performance
- Managed Egress for exporting data to existing data warehouses, BI tools, and other systems
- SOC-2 compliance with strict security and compliance measures