Wildfire Risk Monitor

Kayrros Wildfire Risk Monitor is a satellite- and AI-powered platform that predicts wildfire ignition, monitors active fires in near-real time, and quantifies post-fire damage.

Reviewed by 7wData

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Publisher review

Kayrros Wildfire Risk Monitor is a satellite- and AI-powered platform that predicts wildfire ignition, monitors active fires in near-real time, and quantifies post-fire damage. It serves insurers (including AXA), emergency services, governments, infrastructure operators, and investors who need dynamic, fact-based risk data rather than historical simulations. The tool is part of Kayrros’ broader environmental intelligence suite, which also tracks methane emissions, flooding, and landslides for a diverse client base of carbon traders, commodity firms, and public entities. Founded in 2017 and headquartered in Paris, Kayrros has raised over €72M from backers including the French government, European Investment Bank, and BNP Paribas’ Opera Tech Ventures.

The platform fuses real-time satellite imagery, emissions data, vegetation stress readings, and atmospheric conditions into models that update automatically every month. Fire prediction maps offer 50-meter resolution, while active fire detection points and fire footprints refresh multiple times per day via APIs and the Kayrros dashboard. Users receive email alerts when new fires threaten specific assets or areas. Post-containment, damage assessment maps at 10-meter resolution become available within days, with intermediate maps provided for longer events. The system delivers multi-layer risk scores with breakdowns of contributing factors, allowing users to see how risk evolves over time in any given area.

Kayrros competes with Gaia AI and Pano, but each takes a different approach. Gaia AI uses ground-level sensor backpacks worn by forest managers to measure biomass and verify carbon credits, focusing on forest carbon markets rather than wildfire risk. Pano relies on elevated 360-degree camera stations and AI to detect fires before the first 911 call, emphasizing ultra-early detection for responders. Kayrros differentiates by combining satellite data with ground-truth measurements of physical parameters—not simulated events—to model susceptibility, propagation, and damage across entire countries consistently. This global scalability and integration of emissions data give it an edge for insurers and investors who need cross-region comparability.

The main trade-offs involve reliance on satellite revisit times (which can miss fast-moving ignitions in cloudy conditions), the absence of ground-level camera networks that competitors like Pano deploy, and the complexity of integrating multi-layer risk scores into existing underwriting workflows. Pricing is not publicly disclosed, which limits budget comparison for smaller buyers. Additionally, while the tool excels at attribution and modeling, its effectiveness depends on the quality and timeliness of satellite data feeds, and post-fire damage maps at 10-meter resolution may not capture fine-grained structural damage needed for some claims adjustments.

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How it works

  1. Fact-based risk modeling

    Uses ground-truth measurements of physical parameters—not simulated events—to capture vegetation changes, urban expansion, and real conditions.

  2. 50-m fire prediction maps

    Delivers risk maps at 50-meter resolution via dashboard, APIs, and Excel files for any area of interest.

  3. Multi-layer risk scores

    Provides breakdown of risk factors and score evolution over time for complete transparency in any given area.

  4. Live active fire monitoring

    Interactive maps with active fire detection points and fire footprints updated multiple times per day.

  5. 10-m damage assessment maps

    Post-fire damage maps at 10-meter resolution available within days after final containment; intermediate maps for longer events.

  6. Automatic monthly risk refresh

    Risk exposure data updates automatically every month, reflecting latest vegetation, weather, and land-use changes.

  7. Email alerts for active fires

    Sends alerts when new active fires are detected or when assets/areas of interest are at risk of impact.

Strengths and trade-offs

Strengths

  • Fact-based modeling uses ground-truth measurements rather than historical simulations, improving accuracy for insurers like AXA.
  • Fire prediction maps at 50-meter resolution and damage assessment at 10-meter resolution provide granularity unmatched by many competitors.
  • Risk scores and breakdowns update automatically each month, enabling dynamic portfolio monitoring without manual recalculation.
  • Scalable worldwide with consistent methodology across geographies, simplifying deployment for multinational insurers and governments.

Trade-offs

  • Pricing is not publicly disclosed, making it difficult for smaller organizations to assess affordability without a sales conversation.
  • Reliance on satellite revisit times means fast-moving ignitions in cloudy conditions may be missed between overpasses.
  • Post-fire damage maps at 10-meter resolution may not capture fine-grained structural damage needed for some claims adjustments.
  • Integration of multi-layer risk scores into existing underwriting workflows requires technical effort and may not be plug-and-play.

Pricing context

Not publicly disclosed; available upon request from Kayrros.

Getting started with Wildfire Risk Monitor

  1. Request access from Kayrros

    Contact Kayrros through their website to request access to the Wildfire Risk Monitor. Provide your organization details and use case to receive login credentials and pricing information tailored to your needs.

  2. Connect satellite data feeds

    Configure the platform to ingest satellite imagery and atmospheric data by linking your API keys or enabling Kayrros' default feeds. Verify that data streams for your regions of interest are active and updating.

  3. Define areas of interest

    Upload or draw polygons on the dashboard to specify the assets, properties, or regions you want to monitor. Set risk thresholds and alert preferences for each area to receive targeted notifications.

  4. Run fire prediction maps

    Access the 50-meter resolution risk maps via the dashboard or API. Review multi-layer risk scores and factor breakdowns to understand how vegetation, weather, and land-use changes affect ignition probability in your areas.

  5. Set up email alerts

    Configure email alerts to trigger when new active fires are detected within your defined areas. Test the alert system by simulating a fire event or waiting for the next real detection to confirm delivery and accuracy.

Frequently Asked Questions

What is the Kayrros Wildfire Risk Monitor?

It is a satellite- and AI-powered platform that predicts wildfire ignition, monitors active fires in near-real time, and quantifies post-fire damage. It serves insurers, emergency services, governments, and investors with dynamic risk data based on ground-truth measurements.

How does Kayrros predict wildfire risk?

The platform fuses real-time satellite imagery, emissions data, vegetation stress readings, and atmospheric conditions into models that update automatically every month. It delivers fire prediction maps at 50-meter resolution and multi-layer risk scores showing how risk evolves over time.

What features does the Wildfire Risk Monitor offer for active fire monitoring?

It provides interactive maps with active fire detection points and fire footprints updated multiple times per day via APIs and dashboard. Users also receive email alerts when new fires threaten specific assets or areas, enabling timely response.

How does Kayrros compare to competitors like Gaia AI and Pano?

Kayrros uses satellite data with ground-truth measurements for global scalability, unlike Gaia AI which focuses on forest carbon markets with ground sensors, or Pano which uses elevated cameras for ultra-early detection. Kayrros emphasizes consistent cross-region comparability for insurers.

What is the resolution of Kayrros damage assessment maps?

Post-fire damage assessment maps are available at 10-meter resolution within days after final containment. Intermediate maps are provided for longer events. This granularity helps quantify damage but may not capture fine-grained structural details for some claims.

Is pricing for the Kayrros Wildfire Risk Monitor publicly available?

No, pricing is not publicly disclosed and is available only upon request from Kayrros. This can make it difficult for smaller organizations to assess affordability without a sales conversation, limiting budget comparison.

Alternatives

How Wildfire Risk Monitor compares

Direct head-to-head against 2 competitors. Picked by 7wData.

This tool

Wildfire Risk Monitor

Pricing
Not publicly disclosed; available upon request from Kayrros.
Target
Kayrros Wildfire Risk Monitor is a satellite- and AI-powered platform that predicts wildfire ignition, monitors active fires in near-real time, and quantifies post-fire damage.
Strength
Fact-based modeling uses ground-truth measurements rather than historical simulations, improving accuracy for insurers like AXA.
Watch for
Pricing is not publicly disclosed, making it difficult for smaller organizations to assess affordability without a sales conversation.

Kayrros Wildfire Risk Monitor

Pricing
Custom/Contact sales
Target
Insurance underwriters, risk managers
Deployment
Cloud-based SaaS
Strength
Fact-based modeling using physical parameters
Watch for
Enterprise pricing may be prohibitive for smaller insurers

Zesty.ai Z-FIRE

Pricing
Custom/Contact sales
Target
Property insurers, regulators
Deployment
API or platform integration
Strength
44x better predictive power than traditional models
Watch for
Limited public pricing transparency

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Sources

Reporting on this tool draws on these publicly available sources.

  1. www.linkedin.com
  2. sosvclimatetech.com
  3. www.kayrros.com
  4. time.com
  5. www.kayrros.com
  6. www.kayrros.com