Property intelligence is not aerial imagery
A high-resolution image tells you what a property looks like. It doesn’t tell you what the roof condition score is, what the materials cost to replace, or whether damage existed before the policy was written. That requires the AI and materials layers built on top.
Property intelligence is not analytics on third-party data
Licensed imagery comes with inherited limitations. Licensed imagery comes with inherited limitations. Someone else’s data, on someone else’s refresh schedule, subject to someone else’s coverage decisions. AI is only as accurate as the data underneath it. If the source has gaps, the AI has blind spots.
Property intelligence is not a stack of point solutions
Four vendors may look like a complete intelligence chain. In practice it’s four data standards, four refresh cycles, and four contracts. Every additional vendor in the chain introduces a gap between what was delivered and what the decision needed. Those gaps don’t announce themselves. They show up when the decision gets challenged.
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Certainty requires imagery that’s updated multiple times per year at a resolution where individual roof features, surface conditions, and risk indicators are clearly visible. Nearmap surveys U.S. markets up to 3x per year and Australian markets up to 6x. We own the capture program and control when it runs. When a market changes, we respond to it.
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Other providers license the imagery, outsource the AI, and source the pricing from a third party. Nearmap owns all three. The capture program. The AI trained exclusively on Nearmap imagery. The guaranteed materials data through itel. Ownership means the data is always current, every insight is traceable, and the pricing holds up in any dispute.
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Walter P Moore eliminated the rework that came from outdated datasets and recovered at least 20% of design workflow time. CBBEL used the Nearmap image library to find a leaf-off April window, the only time of year you can see a trail through a dense forest canopy. No field survey could have replicated that.
Replace costly pre-bid field visits with desktop site intelligence
Assess any site remotely with current imagery and 130+ AI detections
Historical archive enables seasonal window selection and change analysis
Construction progress monitoring from the desktop throughout the project
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Frederick Mutual pre-inspects every piece of new business with Nearmap AI before a policy is written. Roof condition scores, hazard flags, material classifications are all derived from aerial captures. Physical inspections are now optional.
Properties change every day. Most property data can't keep up. Nearmap fixes this at the source with owned aerial capture, AI trained on that imagery, and guaranteed materials pricing from a single provider. That's complete property intelligence, and it's only available from Nearmap.
Demo NearmapProperty intelligence is the combination of high-frequency aerial capture, AI-derived analytics, and guaranteed building materials data into a single, owned source of truth about the built environment. It answers not just what a property looks like, but what condition it’s in, what risk it carries, and what it costs to act.
Geospatial intelligence — aerial imagery, location data, 3D models — shows you what exists and where. Property intelligence adds the analytical and materials layer: AI-derived condition scores, peril ratings, material classifications, and guaranteed pricing. Complete property intelligence delivers a fundamentally deeper layer of insight that turns observation into a defensible decision.
Complete property intelligence means one provider owns every layer of the intelligence chain: the aerial capture program, the AI analytics trained on that imagery, and the guaranteed building materials data. When any one of those layers is licensed from a third party, the combined output inherits every limitation of that source. Complete property intelligence has no licensing dependencies, no vendor handoffs, and no data gap.
The imagery foundation determines the accuracy and recency of everything built on top of it. If imagery is licensed from a third party, the refresh schedule is controlled by someone else’s priorities. If the source has coverage gaps, the AI inherits those blind spots. When one provider owns the capture program, they control when it updates, how frequently it covers key markets, and how the data feeds into everything downstream.
Guaranteed building materials pricing means the cost of materials and repair-versus-replace analysis is independently verified and backed by the provider. Most materials pricing is estimated or modeled. In a property claim — where no party starts from a position of trust — independently verified and guaranteed pricing is what closes the argument before it starts. Nearmap will defend itel pricing in any dispute, including a legal one.
itel is a building materials data company acquired by Nearmap that provides independently verified materials pricing and repair-versus-replace analysis. itel’s pricing is used by all top 100 North American P&C insurers and is guaranteed — meaning Nearmap will defend it in any dispute. The acquisition of itel completed the Nearmap intelligence chain, bridging the gap between what aerial capture and AI can observe and what a claim actually costs to resolve.
Nearmap owns every layer of the intelligence chain: patented camera systems producing 4.4–7cm imagery updated up to 6× per year; Nearmap AI extracting 130+ property attributes trained on Nearmap data and traceable to the source; and itel’s 30-year materials database trusted by all top 100 North American P&C insurers, with pricing Nearmap will defend in any dispute. No other provider in the market owns all three.
Six questions reveal what a provider actually owns: Does the provider own its capture program, or license imagery from a third party? How frequently is coverage updated, and who controls that schedule? Are AI analytics trained on proprietary imagery traceable to the source? Is materials pricing guaranteed and will the provider defend it in a dispute? Is there a single source of truth across the full property lifecycle? And can the provider show documented outcomes, with named customers and real metrics?