Flood Depth Maps

Generate near-real-time flood-depth maps from satellite and radar data to automate microinsurance payouts with precise parametric triggers and faster settlements.

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How does it work?

Manual flood assessments rely on slow field surveys and subjective reports, delaying payouts and frustrating policyholders. Automating depth mapping with satellite and radar data ensures objective, timely, and scalable measurements that streamline microinsurance settlements.

Rapid Claims Processing: Automated depth maps reduce claim settlement times from days to hours by instantly detecting flood severity. This speed improves operational efficiency and accelerates compensation to affected policyholders.
High-Resolution Accuracy: Meter-level depth estimates minimize uncertainty and dispute risks by providing detailed inundation profiles. Precise measurements enable fair payouts aligned with policy thresholds.
Scalable Coverage: The platform processes imagery across thousands of properties and large regions in parallel. Scalability supports both local microinsurance schemes and large-scale parametric programs.
Automated Parametric Triggers: Predefined depth thresholds automatically activate payouts when conditions are met, eliminating manual verification steps. This integration reduces administrative overhead and ensures timely compensation.
Reduced Operational Costs: By replacing costly field surveys with remote sensing data, insurers cut inspection and labor expenses. Lower operational costs translate into more competitive premiums.
Improved Customer Trust: Transparent, data-driven depth assessments build confidence through objective, verifiable metrics. Faster and fair settlements enhance policyholder satisfaction and retention.

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 near-real-time mapping compare to manual flood assessments?: Manual assessments often involve on-site surveys that take days and can be inconsistent. Near-real-time mapping delivers consistent, rapid metrics, though it may require occasional ground validation for maximum accuracy.
Why is radar preferred over optical imagery for flood mapping?: Radar penetrates clouds and operates day or night, ensuring uninterrupted flood monitoring during storms. Optical sensors, in contrast, can be blocked by cloud cover, limiting reliability.
What alternatives exist to parametric triggers in flood insurance?: Traditional indemnity-based policies rely on post-event loss adjustments, while index-based models use simplified indicators like rainfall totals. Parametric triggers offer more precise, data-driven activation but need accurate depth measurements.
How popular is near-real-time flood-depth mapping in microinsurance?: Adoption is growing rapidly in emerging markets where fast, low-friction payouts are essential. Insurers increasingly leverage remote sensing to differentiate their parametric offerings.
Are there limitations to radar-based depth mapping?: Dense vegetation and urban structures can introduce noise that affects depth accuracy in some areas. Mitigating these limitations may require multisensor fusion or on-site calibration.
Can this solution integrate with existing insurance platforms?: Yes, APIs and data feeds allow seamless integration with policy administration and payout systems. This interoperability streamlines workflows and reduces implementation time.

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.

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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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