Nearmap uses proprietary aerial imagery and data, AI analytics, and workflow applications to answer various questions across the entire property lifecycle.
Purpose: To provide trusted data and analytical answers for property-related decision-making, covering scenarios such as underwriting, claims, and development monitoring.
Key capabilities:
- Imagery capture: A patented system captures aerial imagery at a resolution of 1.57-2.95 inches (4-7.5 cm) per pixel or better, with standard coverage areas refreshed up to 3 times per year.
- Coverage expansion: Starting in 2027, Nearmap Reach will expand coverage to 97% of the U.S. population and 95% of buildings, capturing at 4 cm resolution and refreshing annually.
- AI analytics: A single global AI model generates more than 130 semantic property layers, trained entirely on its own data, end-to-end autonomous, with no third-party dependencies and no black box.
- Delivery methods: Property intelligence is provided through workflow applications, direct integration into existing systems, and APIs.
Applicable scenarios: Improved underwriting profitability, reduced cycle times, fewer avoidable losses, and improved insured experience; faster claims response; urban development monitoring; reduced engineering rework, and more. The materials mention that Frederick Mutual improved its loss ratio and maintained a 35.6% average; the City of Eastvale recovered $3 million in annual revenue through development monitoring with Nearmap; and engineering firm Walter P Moore reduced rework to achieve a 20% time savings. In addition, more than 12,000 organizations use Nearmap.
Limitations: The materials do not provide further information such as pricing, specific platform support, detailed usage steps, or technical dependencies.