CoreLogic's (now rebranded as Cotality) New AI Platform Knows Your Home Better Than You Do
The data giant quietly launched a property intelligence layer that gives lenders, insurers, and investors granular AI-scored risk profiles on virtually every U.S. home
By PropTech Insider
CoreLogic (now rebranded as Cotality), the data company that already sits behind most mortgage originations in the U.S., has quietly expanded its footprint into real-time AI-scored property intelligence. The new platform — internally called Property 360 — pulls together more than 40 data sources into a single property-level profile that assigns risk scores across four dimensions: climate and hazard exposure, structural condition, neighborhood trajectory, and insurance claim history.
The launch has received little mainstream coverage, but it represents one of the most significant infrastructure shifts in real estate data in the past decade.
What the Platform Does
Property 360 synthesizes data that was previously siloed across different vendors and agencies:
- MLS transaction history going back 30+ years, including days-on-market patterns and price reduction frequency
- Permit and inspection records from over 3,000 counties, flagging unpermitted additions and deferred maintenance signals
- Climate risk scores incorporating FEMA flood maps, wildfire risk models, heat stress indices, and wind/hail exposure at the parcel level
- Insurance claims history aggregated from carrier data partnerships — not just whether a claim was filed, but claim type, severity, and resolution timeline
- Neighborhood mobility indicators derived from anonymized location data, tracking foot traffic patterns, business turnover, and demographic shift signals
- Satellite and aerial imagery analysis using computer vision to assess roof condition, vegetation encroachment, and structural anomalies
The output is a structured API response that lenders, insurers, and institutional investors can query at origination, underwriting, or portfolio monitoring time.
Who Is Using It
CoreLogic is pitching the platform primarily to three buyer categories: mortgage lenders who want to automate more of their collateral risk assessment, property-casualty insurers who are recalibrating their real estate exposure after years of underpriced climate risk, and institutional real estate investors building systematic acquisition models.
The insurance channel may be the most immediately consequential. Several major carriers have quietly reduced their physical inspection requirements for new policies, citing CoreLogic data as a substitute. The practical effect is that an AI-scored risk assessment — assembled from satellite imagery and historical claims — is increasingly replacing the human inspector as the first line of underwriting.
The Consumer Angle Nobody Is Talking About
Property 360 is a B2B product. Homebuyers and sellers have no direct access to the risk scores being assigned to their properties — nor any mechanism to contest them.
This creates an asymmetry that fair housing advocates are beginning to flag. If a lender's AI model downgrades a property's collateral score based on neighborhood trajectory indicators derived from mobility data, the borrower may face a higher rate or a declined application without any explanation tied to that specific input. The fair lending implications are not theoretical: mobility data patterns can correlate strongly with race and income in ways that introduce proxy discrimination.
CoreLogic has stated that its models are tested for disparate impact and comply with ECOA and Fair Housing Act requirements. Independent validation of that claim is not publicly available.
Why It Matters for the Market
The commoditization of granular property risk data — and its integration into origination and underwriting at scale — will accelerate two trends that were already underway.
First, climate-adjusted pricing will become more granular and more consequential. Properties in high-risk zones that were previously underpriced for climate exposure will face faster repricing as AI-scored climate data becomes embedded in lender and insurer decision-making. This is already visible in California, Florida, and Louisiana, where insurance availability has collapsed in wildfire and hurricane corridors. CoreLogic's platform accelerates the nationwide spread of that dynamic.
Second, the value of data opacity will decline. Sellers who previously benefited from buyers' inability to easily access permit violations, insurance claim history, or structural risk signals will find that information increasingly surfaced through lender due diligence — even when buyers don't know to ask for it.
For buyers, the net effect is arguably positive: more information means better-priced risk. For sellers in high-risk properties, it means the gap between what they believe their home is worth and what a lender is willing to finance against will narrow — sometimes sharply.
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