Five integrated solutions. One wildfire lifecycle.
Wildfire is now a financial, insurance and infrastructure crisis.
Every figure below comes from peer-reviewed research, government filings or global insurance bodies.
Insured losses from the 2025 Los Angeles fires, a global wildfire record
Munich Re NatCat 2026Annual growth in global wildfire insured losses
Swiss Re Institute 2026US federal wildfire budget request for FY2026, up 245%
DOI FY2026 Budget RequestReturn on every dollar spent on prevention versus suppression
USFS · American Forests · UNEP 2022PG&E wildfire settlement for fires started by utility infrastructure
PG&E SEC 8-K 2020Projected rise in extreme fire events worldwide by 2100
UNEP Spreading Like Wildfire 2022Extreme fire probability increase in the Mediterranean by 2100
El Garroussi et al., npj Climate 2024Share of fires stopped at initial attack, while they are still small and cheap
NIFC · USFS dispatch dataSuppression is failing. Prevention is the answer.
“The 2% of fires that escape initial attack consume more than 30% of the total suppression budget. Firefighting cannot stop them — only a change in the weather can.”
USFS and National Interagency Fire Center data
Source: NIFC WFIGS incident locations, 2021 (public domain) · imagery © EOX (CC BY 4.0)
Between 2000 and 2017, Portugal spent €6.585 billion on fire suppression and only €410 million on prevention — a 16:1 ratio. In 2017 alone, 117 people died. The US Forest Service's fire budget has grown from 16% of its total in 1995 to more than 50% today. The 2025 Los Angeles fires triggered a $6.55B federal budget request, a 245% rise in a single year.
The science is clear: every $1 invested in prevention saves $6–12 in suppression. But prevention only works when institutions know where to act, what to fund, and whether it worked. That is ForestSATai's purpose.
With and without an intelligence layer.
- ✕Prevention budgets allocated without risk intelligence→Risk maps show exactly where to act before fire seasonInsight™
- ✕No verifiable proof that mitigation was carried out→Satellite-verified proof of preventionMVR™
- ✕Fire response is reactive, chasing the current flame front→Models where the fire goes next, so crews act ahead of itResponse™
- ✕Post-fire damage assessment is fragmented and slow→Objective post-fire damage assessmentRecovery™
- ✕Suppression costs keep climbing without limit→Prevention becomes measurable, fundable and defensibleGuardian™
Built on satellite EO, AI, forest science and cloud SaaS.
Satellite EO
Sentinel-2/3, Landsat, SAR radar, MODIS, GOES-18, ESA, NASA, JAXA, ISRO, Bhuvan and commercial constellations. 20+ spectral bands, 375 m–10 m resolution, with sub-hourly to weekly cadence.
AI / machine learning
Risk prediction, fire-spread simulation, fuel-load mapping and scenario generation, trained on 10+ years of satellite and environmental data. NVIDIA GPU-accelerated.
Forest science
Fuel accumulation, canopy structure, vegetation stress and drought signatures across 50+ environmental variables. Decades of fire-footprint analysis and forest-health diagnostics.
Cloud SaaS
Cloud-scale geospatial processing, dashboard delivery, API-ready outputs and role-based access, on secure enterprise-grade architecture. AWS Space Challenge winner ($250K credits).
Wildfire Insight™
Satellite and AI wildfire risk prediction for preventive action
Wildfire Insight™ is the predictive engine of the ForestSATai Wildland Operating System. It maps areas at risk of wildfire, often years before ignition, by analysing more than a decade of satellite and environmental data on forest health, fuel accumulation and risk trajectory.
Forest scientists know that the conditions behind megafires build quietly over many years. So ForestSATai looks back a decade, analysing imagery from more than six satellite missions week after week, to build a clear and reliable risk map. It shows where conditions, especially under extreme weather, will lead to catastrophic wildfire if left unmanaged.
Wildfire Insight™ takes the guesswork out of wildfire risk, so stakeholders can act ahead of fire season and stop megafires before they start.ForestSATai platform documentation
10+ years of satellite Earth Observation data: fuel build-up, vegetation stress, canopy-density change, moisture decline, terrain, wind exposure and historic burn signatures.
Super Forest Intelligence risk models trained on 50+ environmental variables. They detect how risk accumulates and how an ignition could escalate under extreme weather, with what-if simulation for fire-weather conditions.
Dynamic area-at-risk maps: exposed communities, property, infrastructure, agriculture and ecological zones. Low → Moderate → High → Extreme, plus fuel-overload hotspots. Not just where a fire could start, but what it would burn.
Early, targeted intervention before fire season reduces dependence on costly suppression. The Dixie Fire cost $637M to suppress; monitoring and prescribed-burn treatment of the same landscape would have cost a small fraction of that.
Real Sentinel-2 imagery and OpenStreetMap buildings and roads, Grass Valley, California. Fuel is read from the imagery; the risk trajectory is illustrative.
Wildfire Guardian™
Wildfire prevention and risk-mitigation decision support
Wildfire Guardian™ is the prevention decision support system of the ForestSATai Wildland Operating System. It turns risk intelligence into continuous, on-the-ground preventive action all year round, especially in the run-up to fire season.
Built on the outputs of Wildfire Insight™, Guardian combines current satellite data with changing forest conditions to guide fuel management, vegetation management and the preparation of high-risk zones. Decision-makers can prioritise resources, act while intervention is still practical, and reduce wildfire risk systematically across large territories.
Prevention planning
Year-round action plans for fuel reduction, vegetation management, firebreaks, brush clearance and protection of exposed zones. Plans update as conditions change.
Resource prioritisation
Shows where intervention is needed, which action will work best, and which areas come first before fire season, so limited budgets deliver the greatest risk reduction.
Operational discipline
Guidance that tracks changing fuel loads, forest conditions and weather exposure. Insight becomes budgets, tasks, contractor work orders and measurable outcomes.
Pre-season scenarios
“If a fire starts here, what happens in the next 6, 12 and 24 hours?” Pre-season fire-spread scenarios under forecast weather support containment planning and resource positioning before any fire starts.
Treatment units placed where heavy fuel meets real structures (OpenStreetMap), scheduled month by month. Plan illustrative.
MVR™
Monitor, Verify, Report for wildfire risk mitigation
MVR™ is the system of record for prevention budgets. It provides satellite evidence of what was done, what it cost, and whether wildfire risk actually fell, for policymakers, auditors, insurers and every stakeholder. MVR™ is compatible with standard MRV (Measurement, Reporting and Verification) frameworks.
Satellite, aerial and field inputs show whether mitigation work was carried out in the identified risk areas, with high-resolution satellite verification.
Confirms what was done, where, when and by whom, and whether it matches the prevention plan. Independent contractor accountability, with before-and-after risk visualisation.
A direct link between action, cost and outcome: policy reports, ESG and climate disclosures, investor-grade performance documentation and insurance evidence.
Why MVR™ matters
The US federal government alone has requested $6.55B for wildfire in FY2026, yet spending agencies struggle to show what was done or whether risk fell. Utilities spend billions on mitigation, such as Southern California Edison's $6.2B plan, and still face litigation because outcomes are unverified. Insurers need evidence of risk reduction to underwrite.
MVR™ makes ForestSATai the system of record, not just an analytics tool. It answers the three questions that matter: What was done? What did it cost? Did it reduce wildfire risk?
- Policymakers & budget controllersTransparent governance and evidence-based investment
- Electric utilitiesIndependent verification for AB 1054 compliance and litigation defence
- Insurers & reinsurersVerifiable impact metrics for underwriting and pricing
- Climate finance & ESGInvestor-grade reporting for carbon-credit frameworks
- Auditors & public accountsIndependent, satellite-verified expenditure reporting
- Conservation bodiesMeasurable tracking of ecological restoration
Before and after treatment on real Grass Valley ground, verified unit by unit. Treatment outcome illustrative.
Wildfire Response™
AI fire-spread prediction for firefighting and emergency response
Wildfire Response™ activates the moment an ignition is detected. It combines AI modelling with live satellite data, weather and field intelligence to predict how the fire will behave: its direction, rate of spread, intensity, flame height and likely impact.
Instead of reacting only to the current fire line, authorities can act on where the fire is going next. That cuts response time, improves coordination and makes suppression more effective. Wind, temperature, terrain, fuel conditions and live satellite observations are integrated continuously.
Wildfire Response™ turns wildfire suppression from reactive firefighting into predictive, intelligence-led response.ForestSATai platform documentation
Ignition to intelligence
Response starts from the fuel-load picture already built by Wildfire Insight™, so there is no cold start.
Predictive suppression
Containment planning, resource deployment and evacuation strategy, driven by fire-spread predictions that update as conditions change.
Public safety
Identifies high-risk zones in the fire's path and helps civil-defence authorities warn communities early, for more orderly and timely evacuations that save lives.
Scenario training
Pre-season fire-spread scenarios let firefighters rehearse likely fires in high-risk zones, so crews are better prepared when a real fire starts.
Who it serves: fire agencies, civil defence, utilities and emergency services. Designed to work alongside national incident-command systems such as NIFC and NICC in the US, Australia's NEMA, EU Civil Protection and India's NDMA.
Simplified spread over fuel read from real imagery; roads slow the fire and OpenStreetMap buildings are counted. Wind west-southwest. Illustrative, not a forecast.
Wildfire Recovery™
Fire damage assessment and recovery intelligence
Wildfire Recovery™ is the post-fire engine of the ForestSATai Wildland Operating System. It measures the full impact of a wildfire and guides recovery with clarity and precision, comparing pre-fire and post-fire conditions using satellite archives, aerial observation and field inputs.
Beyond damage assessment, it supports long-term restoration. It tracks how burned areas regenerate, monitors reforestation and rehabilitation, and shows whether recovery investment is delivering the intended outcomes.
Wildfire Recovery™ turns fragmented post-disaster assessment into a continuous, data-driven process, from damage to restoration.ForestSATai platform documentation
Damage assessment
Pre- and post-fire satellite comparison maps the extent and severity of damage to homes, infrastructure, agriculture, forests and biodiversity, including burn severity, destruction zones, carbon emissions and soil degradation.
Claims & reporting
Objective evidence for governments and insurers of what was lost, where and how severely. Supports insurance validation, subrogation and transparent claims assessment.
Recovery planning
Tracks reforestation, rehabilitation, soil recovery and ecosystem regeneration over time, so recovery is data-driven, transparent and resilient.
For insurers
Insured wildfire losses in Los Angeles reached $40B in 2025 (Munich Re), within a $107B global natural-catastrophe total. Wildfire Recovery™ gives insurers the objective damage evidence the market urgently needs.
Real annual Sentinel-2 composites of Paradise, California: the November 2018 Camp Fire burn scar and the years of regrowth that followed. Green cover is measured from the imagery relative to 2018; it stays low because burned trees were removed and lots cleared, which is exactly why recovery must be measured, not assumed.
From first chat to full deployment.
01 · Register
Register and send us a short message. We learn about your geographical location, jurisdiction or assets, and come back with questions on current fire-management workflows, data access and prevention actions.
02 · Online certification
You designate expert users from your organisation, who take a completely free training and certification course from ForestSATai.
03 · Pilot
We provide you and your certified professionals with no-obligation, US$25,000 in credits for use of ForestSATai solutions for 3 months. Share your questions, feedback and suggestions: we will improve with each click you make, making the system more relevant and accurate for you.
04 · Deployment
We train and certify multiple users and run statewide, multi-region or portfolio-wide rollouts, building a commercial solution that is just right for you and your requirements.
Ready to deploy ForestSATai?
Pilots are available for counties, forest departments, utilities, insurers and government agencies. The technology is ready.