.

ForestSAT built a planetary-scale solution.

Planetary-scale AI & EO wildfire infrastructure

The world's first full-lifecycle Wildland Operating System for wildfire: risk forecasting, prevention, mitigation, suppression, recovery, policy and finance. It combines AI, Satellite Earth Observation and forest science in one platform.

$40BInsured loss · LA 2025
+12%Loss growth / yr
6–12×Prevention ROI

Live day and night · UTC --:-- · — thermal detections (illustrative)
Drag the Earth to turn it · click California to descend

01 Satellite EO · 6+ constellations

California, from orbit.

Every megafire was preceded by years of observable risk: fuel building, vegetation drying, moisture declining. Visible from orbit. We read 10+ years of it, week after week, for one landscape at a time.

Sources
Sentinel-2/3 · Landsat · SAR · MODIS · GOES-18
Resolution
375 m → 10 m
Landscape
Grass Valley, Sierra Nevada foothills, CA · —
02 Predict · Wildfire Insight™

Where risk is building.

Super Forest Intelligence maps where fuel and fire risk are quietly building in wildlands, years before ignition, using 10+ years of satellite Earth Observation and 50+ variables. It shows which homes, communities, flora and fauna are at risk.

Extreme
— of landscape
High
—
Exposed
Grass Valley & Nevada City WUI
Low Extreme
03 Prevent · Wildfire Guardian™

Act while it's practical.

Predictive intelligence supports year-round prevention plans: fuel management, firebreaks and risk-ranked priorities, cutting disaster costs and damage through smart, affordable preventive action.

Treatment units
— · — ha
Fuel breaks
— km
Prevention ROI
6–12× vs. suppression
04 Verify · MVR™ Monitor · Verify · Report

Proof it was done.

Continuous evidence of preventive action through satellite, aerial, drone and ground LiDAR monitoring: what was done, where, when and at what cost, and whether risk actually fell.

Units verified
—
Modelled risk
— inside treated units
Reporting
Policy · ESG · insurance evidence
05 Respond · Wildfire Response™

Ahead of the flame front.

When a fire starts, ForestSAT AI predicts its direction, speed, type, intensity and flame height, and the risks along its path, so crews act ahead of the flame front. Lines mark the front every two hours.

Burned at 24 h
— ha treated
Without prevention
— ha
Front reaches town
—
06 Recover · Wildfire Recovery™

From damage to regrowth.

Post-fire satellite assessment and Super Forest Intelligence deliver long-term regeneration plans for governments, industry, communities, insurers and restoration programmes.

High severity
— ha
Regrowth
Year 0 · 0% canopy recovery
07 · The operating system

One landscape.

Five integrated products.

A Super Forest Intelligence operating system, as valuable for conservation as it is for fire-risk mitigation, prevention, suppression and the long years of recovery that follow.

08 · Field lab · drag to orbit

Your turn.

T+00:00

Simplified spread model on real Grass Valley terrain, with fuel derived from Sentinel-2 imagery. For demonstration only; production models use live EO, weather and fuel data.

    Megafires are not surprises. They are predictable.

    NDVI anomaly −0.18 Fuel moisture 6% GOES-18 · 5 min cadence Sentinel-2 · 10 m Canopy density −11% SAR · all-weather

    More than a decade of satellite-observed fuel accumulation proves that fire risk is predictable. Megafires are preventable. Quantifiable action is possible, before the spark.

    The world has a wildfire problem

    Wildfires are costing billions.

    Governments, utilities and insurers are committing unprecedented capital to wildfire. Budget overruns and record losses persist because, until now, there has been no intelligence layer. ForestSAT shows where to invest in prevention, and verifies how that investment is working. Every figure below is sourced.

    —01 / 06
    —

    —Source-cited · public record
    Where risk concentrates

    Five institutions. One intelligence layer.

    Wildfire is an existential financial and operational challenge for the institutions below. Each gets a distinct product path, and they all read the same ground truth.

    Keep scrolling
    Insight · GuardianLowExtreme · ranked zones
    Forest departments & governments—

    Spend where risk is building.

    Turn a fixed prevention budget into a ranked, year-round work plan: which areas, what action, in what order, before summer.

    Output
    Priority zones, work orders, contractor tasks
    Products
    Insight™ · Guardian™ · MVR™
    Insight · MVRLine segments scored by adjacent fuel & terrain
    Electric utilities—

    Every span, scored.

    Risk along every kilometre of line, and independent satellite verification of vegetation work for compliance and litigation defence.

    Output
    Segment risk, vegetation work verification
    Context
    $100B+ in utility wildfire liability
    Insight · RecoveryEach point is an insured property
    Insurers & reinsurers—

    Underwrite the landscape, not the postcode.

    Property-level exposure from the fuel and terrain around it, verified mitigation for pricing, and objective post-fire damage evidence for claims.

    Output
    Exposure scores, mitigation evidence, damage maps
    Context
    $40B insured loss, LA 2025
    MVRBefore · after treatment
    Conservation & climate funders—

    Prove prevention worked.

    Investor-grade reporting that links every dollar to an action and to a measured change in risk, habitat and carbon.

    Output
    Before/after risk, ESG & carbon reporting
    Products
    MVR™ · Recovery™
    ResponseEarlyLate · evacuation route
    Fire & emergency services—

    Know where it goes next.

    Spread predictions updated as conditions change, for containment planning, resource deployment and earlier, more orderly evacuations.

    Output
    Spread forecasts, at-risk zones, evacuation timing
    Integrates
    NIFC · NICC · national incident command
    Research library

    The evidence base behind the platform.

    Six major research reports, forming one of the most comprehensive open-access wildfire research libraries available. Every dataset that informed the ForestSAT platform is documented and cited.

    Open access · compiled from public sources · updated 2026

    View research library
    Amazon Web Services (AWS) logo

    AWS Space Challenge

    Winner, Dubai Airshow 2021, recognising ForestSAT's satellite EO architecture as mission-critical cloud infrastructure.

    Winner
    NVIDIA logo

    NVIDIA Inception

    GPU credits recognising ForestSAT's AI/ML fire-risk modelling at geospatial scale.

    Member
    FIRE-RES, EU Horizon 2020 wildfire research programme logo

    EU Fire-Res

    European wildfire research programme, giving scientific credibility in the world's fastest-escalating fire-risk region.

    Alumnus
    Innovation Norway logo

    Innovation Norway

    A $50K government innovation grant supporting ForestSAT's technology and international expansion.

    Grant
    ForestSAT receiving the AWS Space Challenge winner's cheque on the Startup Stage at the Dubai Airshow, November 2021
    Dubai Airshow · Startup StageAccepting the AWS Space Challenge award, 18 November 2021
    FIRE-RES Open Innovation Challenge: Jury's Selection, Top Wildfire Solution
    FIRE-RES Open Innovation ChallengeJury's Selection: Top Wildfire Solution
    The founder

    Built from a moral imperative.

    Every megafire that has devastated a landscape was preceded by years of observable, measurable, preventable risk accumulation. We built the system to see it, act on it, and prove that we did.
    Ajay Goyal · Founder & CEO

    Megafires are preventable.

    Ajay founded ForestSAT in 2021 to put the science of wildfire prevention into practice using Satellite Earth Observation and AI. We believe saving the planet's forests, wildlife and communities from wildfire is possible, and doing everything we can to achieve it is a moral imperative. He is the author of the four-volume Megawildfires series on Amazon.

    • Published scienceFour Megawildfires books on Amazon: satellite forensic investigations of megafire risk. The platform puts the same thesis into operation.
    • EO pioneerAWS Space Challenge winner and EU Fire-Res alumnus, with deep technical expertise in satellite Earth Observation for fire risk.
    • AI at scaleNVIDIA Inception member. GPU-accelerated fire-risk modelling, with ML trained on decade-long satellite records.
    • ResilienceBuilding the platform since 2021: five years of grit and determination, because we believe megafires are preventable and forest ecosystems must be saved.
    Observed byRecognised by