cloud to street

Flood Intelligence Engine

data streams
15 satellites
Gauge Data
Weather Forecast Data
Flood Models
Asset Data
Local Knowledge
flood intelligence
policy modeling & index design
emergency reporting
impact analytics
flood monitoring & alerts
flood forecasting
decision support tools
historical risk analytics & event maps
use cases
Parametric Flood Insurance
Claims Management
Risk Analysis
Disaster Management & Response
Data streams
Satellites
Gauge Data
Weather Forecast Data
Flood Models
Asset Data
Local Intelligence
Flood intelligence
policy modeling & index design
impact analytics
emergency reporting
flood monitoring & alerts
flood forecasting
decision support tools
historical risk analytics & event maps
use cases
parametric flood insurance
claims management
risk analysis
disaster management & response

A Single Source of Truth for Flood Data

Our data provides the capability to price and trigger index-based insurance policies, respond to disasters, and analyze historical risk.

Wide Spatial Coverage

We leverage public and commercial satellites that resolve at 250m-50cm.

Immediate Impact Data

We aggregate data about impacted people, agriculture, and other critical infrastructure.

Regular Reporting Intervals

Our platform can send reports on daily, weekly, or monthly intervals.

Integrated Weather Data

We integrate precipitation and meteorological data for an enhanced risk assessment.

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Ghana Flood Analytics System
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Ghana
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Sept 9 - 16, 2020
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Reports
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Impacts in Ghana chart, shows how population, crops and roads are affected
Chart showing where different people located in Ghana were affected
Shows where crops in Ghana were affected
Layers
Crops Impacted (km2)
Permanent Water
Historical Flood Frequency
Cropland (5-m resolution)
Map of Ghana
see the difference

Best-In-Class Flood Monitoring

Floods are the most common and costly natural peril, yet most floods are not mapped because traditional methods are inadequate.

Flood models require near perfect ground data and maintenance; stream gauges are often “over-topped” during major flooding; and commercial satellites lack a sufficient historical record. Cloud to Street combines satellites, traditional data, and AI to generate the most accurate and actionable flood maps on the market.

Cloud to Street
Flood Model
Cloud to Street mapOpen source data map
We measure risk better than traditional models for frequent flooding. Read the paper.
Comparing the data

Traditional Methods vs. Cloud to Street

Only commercial satellites

Only ground sensors

Cloud to Street

Spatial resolution

High over a small area

Low over only a pinpoint

High and low options over the entire world

Temporal resolution

Sporadic

Daily

Daily

Historical data for underwriting

None

None

30+ years

Scalability

Can only map small areas at a time

Can only map small areas at a time

Global

Upshot

Does not work for parametric

Works where there is distribution and other historical data

Combines the best of all approaches to serve the entire market

"Cloud to Street enabled us to leverage this new type of data in the most efficient way and develop a new insurance model in Southeast Asia."
Head of Analytics and Model Development
Willis Re (Reinsurance at Willis Towers Watson)
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Get in touch with our Sales team

Get in touch