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Cotality

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May 20, 2026

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Best for: Mortgage Underwriters, Property Insurers, …

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About Cotality

TL;DR

Cotality, developed by CoreLogic, is an advanced property intelligence platform designed for real estate professionals, financial institutions, and underwriters who require deep property insights. The tool aggregates and analyzes vast amounts of property data to help users visualize the real estate ecosystem from multiple angles. By transforming raw housing and commercial property data into actionable intelligence, Cotality enables decision-makers to identify market trends, assess risks, and predict future property values with greater precision. It serves as a comprehensive research and analytical hub, offering a holistic view of property characteristics, ownership histories, and geographic market dynamics. Rather than relying on fragmented data sources, users can leverage this platform to streamline their valuation processes, optimize investment portfolios, and make highly informed decisions based on structured predictive analytics. Ultimately, Cotality aims to remove the guesswork from property-related transactions and planning by providing clear, data-driven insights.

Use Cases

Real-world scenarios where Cotality saves time.

Use Case 1: Mapping Property Valuation Risks

Problem: Mortgage lenders and property insurers struggle to evaluate natural hazard risks across thousands of addresses.
Solution: Cotality leverages extensive CoreLogic location data to map and analyze parcel-level intelligence.
Example: An underwriting analyst checks a residential development to examine proximity to flood zones.

Use Case 2: Integrating Real Estate Datasets

Problem: Fintech developers find it slow to connect property-level records with cloud platforms like Snowflake or Databricks.
Solution: The platform integrates location and building data directly through Model Context Protocol (MCP) servers.
Example: A data engineer connects their corporate database to Cotality's API to fetch address and ownership data automatically.