Wildfire Mapping

AI-powered satellite imagery identifies burned areas within hours, enabling precise asset exposure analysis and portfolio-level wildfire risk assessment.

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How does it work?

Manual burn scar mapping is slow and error-prone, delaying critical risk decisions for insurance portfolios. Automated AI-driven analysis accelerates detection and delivers accurate extent data to inform underwriting and claims management.

Rapid Detection: Automated AI processes new satellite imagery within hours of fire events. This speed enables insurers to assess exposure and allocate resources immediately.
Asset Tagging: Detected burn scars are overlaid on asset locations for precise impact assessment. This ensures underwriters and claims teams have exact exposure data for each property.
Portfolio Overview: Aggregated maps provide a bird’s-eye view of risk across all insured assets. Portfolio managers can quickly identify high-risk zones and adjust coverage strategies.
Time-Series Analysis: Historical and current fire extent layers can be compared to reveal trends and recurrence. This insight supports long-term risk modeling and resilience planning.
Compliance Reporting: Prebuilt reporting templates meet regulatory requirements for risk disclosure. Automated export of maps and metrics streamlines audit and stakeholder reporting.
Seamless Integration: APIs connect mapping outputs directly to existing GIS, ERPs, and risk platforms. This ensures real-time data flows into underwriting and claims workflows without manual steps.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does wildfire-extent mapping compare to manual surveys?: Automated AI mapping processes satellite data at scale, eliminating the weeks-long timelines of manual ground surveys. It also reduces human error by standardizing detection algorithms.
Why is it popular among insurers?: Insurers value rapid, accurate damage assessments to speed claims processing and underwriting decisions. The platform’s ability to handle large portfolios drives its adoption in risk management.
What are limitations of satellite-based mapping?: Cloud cover and low-resolution imagery can obscure burn scars in some regions, affecting detection accuracy. Users may need complementary data sources, such as aerial drones or ground reports, in these cases.
Can this replace aerial surveys as an alternative?: Satellite-based AI mapping provides broader coverage at lower cost than frequent aerial surveys. However, high-resolution drone or manned flights may still be necessary for detailed validation in critical zones.
How frequently can I update wildfire maps?: Update frequency depends on your chosen imagery source, with some satellites offering daily revisits. The platform automatically ingests new data and refreshes maps as soon as imagery is available.
How does it integrate with existing risk platforms?: The solution offers RESTful APIs and geospatial data services compatible with common GIS and risk management systems. This allows automated data exchange without custom development overhead.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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