Why imagery and data from one source matters
Not all data is created equal. The source, quality, and ownership of that data determine whether it empowers or hinders decision-making.
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In an industry where precision and speed are critical, having the right data at the right time can mean the difference between a proactive decision and a missed opportunity. For property and casualty (P&C) insurers, where the stakes include accurate underwriting, effective claims management, and informed risk mitigation, the quality of the underlying data is paramount.
But, not all data is created equal. The source, quality, and ownership of that data determine whether it empowers or hinders decision-making. That’s why the Nearmap full-stack approach — where we own every step from capture to delivery — is a true differentiator. By combining real-time, high-resolution imagery directly captured and processed in-house, Nearmap delivers insights insurers can rely on, without the uncertainty or inconsistency of third-party sources.
The high cost of uncertainty in imagery
Many property intelligence providers in the market today rely on multiple third-party imagery sources. When providers don’t own their imagery pipeline, insurers inherit the risks of that fragmentation: delays in availability, inconsistent resolution, and data gaps that compromise workflows. Even worse, the variability in imagery quality — resulting from different capture methods and heights, processing standards, and resolutions — leads to inconsistent AI model outputs. AI models trained on uneven input can generate misleading predictions, undermining the insights insurers rely on.
For insurers, the stakes are clear: these inconsistencies translate into inaccurate property insights, underwriting blind spots, premium leakage, and slower claims responses. Simply put, you can’t make accurate decisions on data you can’t trust.
The full-stack advantage
By owning and operating every stage of the imagery process, and delivering these insights via the Betterview platform, Nearmap ensures our customers get the most accurate, timely, and actionable data available. Here’s how our full-stack model is designed to better serve our customers:
Direct imagery capture: Our fleet of high-tech planes is equipped with patented camera systems that capture high-resolution imagery. We employ a systematic approach to ensure coverage across urban and suburban areas multiple times a year, providing insurers with fresh data that reflects current property conditions.
In-house processing: Unlike providers that outsource data processing, Nearmap handles everything in-house. This guarantees that our imagery maintains consistent clarity and resolution across all geographies and seasons — an essential factor for scalable AI models. Competitors, reliant on varied and outsourced pipelines, simply can’t match this level of uniformity.
Unmatched frequency and coverage: Nearmap doesn’t just offer high-resolution imagery — we ensure it’s available when and where insurers need it. From routine seasonal updates to rapid post-catastrophe captures (e.g., Los Angeles Wildfires), our imagery is consistently captured, processed, and delivered at sub-7cm Ground Sample Distance (GSD), setting the gold standard in recency, resolution, and reliability.
AI-driven insights: Our latest generation of AI model provides actionable intelligence. With over 130 detections and scores, including roof characteristics, roof conditions, property objects, and vegetations, Nearmap equips insurers with the granular details they need to make informed decisions, thanks to the high-quality aerial imagery.
Seamless integration: Nearmap integrates smoothly into insurers’ existing workflows. Our solutions are delivered through APIs, the Betterview platform, data warehouse, or core system integrations. Whether it’s quoting, underwriting, or loss control, you can access property insights when and where it’s needed.
Certainty you can trust
For insurers, trust is everything. Trust that the data they rely on is accurate. Trust that they will have reliable access to aerial imagery, the foundation of property intelligence. Without this trust, how can their policyholders trust them to be there in a desperate time of need?
A full-stack approach builds this trust from the ground up and provides confidence to insurers and policyholders alike. By controlling every aspect of the data pipeline, Nearmap eliminates the variability and uncertainty associated with other third-party providers. With the Betterview platform as the delivery mechanism, insurance companies benefit from a unified source for property and portfolio intelligence, combining regular, consistent, dependable imagery with AI insights to provide actionable answers.
Real results, real impact
The difference isn’t just theoretical. Nearmap customers consistently report improved efficiency, faster decision-making, and a boosted bottom line thanks to a full-stack solution.
- Accelerated underwriting: Insurers reduce time spent on property underwriting and inspections. For example, Ohio Mutual Insurance did so by 64%, allowing them to underwrite faster and with greater confidence.
- More accurate ratings: Frequently updated imagery combined with AI-powered roof scores and pre-filed peril scores enable more precise modeling and ratings.
- Proactive risk mitigation: Full-stack AI-driven insights empower insurers to identify potential vulnerabilities, helping them take preventative action before a loss occurs.
- Enhanced claims management: With post-catastrophe imagery and damage AI available within days, claims teams can quickly assess damage and settle claims, improving the customer experience while reducing operational costs.
As the insurance industry faces increasing complexity, from climate change to evolving customer expectations, the need for reliable, actionable data will only grow. The full-stack approach ensures that our customers are always equipped with the insights they need to stay ahead, at a property and portfolio level.
Don’t let uncertainty hold you back. With Nearmap, you gain a partner that’s committed to delivering consistent, reliable data for better decisions — every time.
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