Wildfire Intelligence Platform

Predict and verify wildfire ignitions before they become emergencies.

Stimulus combines predictive modeling, real-time verification, and operational intelligence to help agencies, utilities, and industrial operators detect probable wildfire ignitions and respond faster than conventional monitoring allows.

PREDICTION MAP · BIOME-CALIBRATED LIVE
IGN-0472 · high risk
VER-0318 · confirmed
Temp
31.5°C
Humidity
18%
Wind
22 km/h SE
Storm Risk
Elevated
77%
Fires predicted and verified in the 2026 season
14 days
Earlier detection than conventional methods
500 m
Prediction proximity to actual ignition
Biome-Tailored
Models calibrated to each region's vegetation, climate, and fire behavior
The Problem

Most wildfire detection still runs on yesterday's systems.

Satellite passes, ground reports, and camera networks tell operators where a fire already is — not where one is about to start. That gap is where damage compounds.

Where existing systems fall short

Detect too lateSpotters, public reports, and aircraft patrols can miss a remote, smoky, or smoldering fire for days or even weeks — by which point it's too large to control.
Generate false alarmsUnverified alerts erode operator trust and slow real response when it matters most.
Delay response deploymentWithout a verified, located signal, crews are dispatched reactively — only after a fire is large enough to be reported.

How Stimulus is different

Flags high-risk weather triggersThe model tracks high-risk weather activity across a region and predicts which events are likely to ignite a fire, triggering verification by satellite, drone, or ground crew.
Verifies before alertingEvery prediction is cross-checked against live conditions before it reaches an operator, so only confirmed ignitions become alerts.
Locates within 500mVerified predictions are placed within 500 meters of the actual ignition, tight enough to inform staging decisions.
The Workflow

Prediction → Verification → Action

Stage 01

Prediction

Models score probable ignition zones from weather, fuel moisture, and atmospheric trigger data.

Stage 02

Verification

Candidate ignitions are checked against live satellite, sensor, and reporting data before an alert is issued.

Stage 03

Action

Verified alerts are routed to operators with location, confidence, and recommended response.

Validated Performance

Results built on operational data, not projections.

Every figure below comes from deployments in active wildfire regions — not lab conditions.

77%

Of fires successfully predicted and independently verified in the 2026 season.

14 days

The model is up to 14 days ahead of conventional detection methods.

80%

Precision rate — four in five flagged predictions are confirmed real ignitions.

The Platform

Everything an operations team needs, in one place.

Interactive Prediction Map

Live map of probable and verified ignition zones with confidence scoring.

Custom Alerts

Verified alerts routed to the right team, with location and recommended response.

API Integration

Feed predictions and verifications directly into existing dispatch and GIS systems.

Industries Served

Built for the teams accountable for wildfire risk.

Government & Agencies Utilities Energy Mining Forestry Conservation & Land Mgmt

See Stimulus running on your region.

Request a demo and we'll walk through live predictions for the area you operate in.

Platform

What you're actually buying.

Eight capabilities, one connected workflow — from raw prediction to a verified, actionable alert.

01

Dashboard Overview

Your operational home screen
A single view of active predictions, verified ignitions, regional risk levels, and system status. Built for a team monitoring conditions across multiple zones at once.
  • Region-level risk summary
  • Active and historical event log
  • Team assignment and status tracking
02

Prediction Engine

Where a probable ignition is first flagged
Tracks high-risk weather activity across a region in real time and scores the likelihood that each event will ignite a wildfire, flagging high-probability events for verification.
  • Real-time, region-wide weather-trigger tracking
  • Confidence scoring per event
  • Continuous re-scoring as conditions shift
03

Verification System

Where a prediction becomes a trustworthy alert
Cross-references live satellite imagery, autonomous drone flights, ground crews, and third-party reporting against each flagged event, confirming with certainty whether an ignition has actually occurred.
  • Multi-source cross-checking — satellite, drone, ground crew
  • Located within 500 meters of actual ignition
  • Confirms fires up to 14 days sooner than conventional detection
04

Alerts

Getting the right signal to the right team
Custom alert rules by region, severity, or asset proximity, delivered to the tools your team already monitors.
  • Rule-based routing by region or severity
  • Delivery to email, SMS, or existing dispatch tools
  • Escalation paths for high-confidence events
05

Reporting

What happened, where, and how it tracked
Post-event and periodic reports summarizing prediction accuracy, response times, and outcomes by region — built for internal review and regulatory reporting alike.
  • Prediction-to-outcome tracking
  • Regional performance summaries
  • Exportable report templates
06

API Integration

Bringing predictions into your existing systems
A documented API for feeding predictions, verifications, and alerts directly into GIS, dispatch, or asset management systems already in use.
  • REST API with regional and event-level endpoints
  • Webhook delivery for verified alerts
  • Sandbox access for integration testing
07

Data Downloads

Taking your data with you
Export raw prediction, verification, and event data by region and date range for offline analysis or internal recordkeeping.
  • CSV and GeoJSON export
  • Custom date and region ranges
  • Full event history access
FAQ

Platform questions

How are predictions generated?
Stimulus tracks high-risk weather activity across a region and predicts which events are likely to ignite a wildfire. High-probability events are flagged for verification by satellite, drone, or ground crew — allowing confirmed ignitions to be detected up to 14 days sooner than conventional methods would discover the same fire.
What data sources does Stimulus use?
A combination of weather and atmospheric data networks, forecasting data, fuel and terrain datasets for prediction, and satellite imagery, autonomous drone flights, or ground crew reporting for verification.
How does the deployment process work?
After a demo and region scoping call, we configure prediction coverage for your operating area, connect any required integrations, and onboard your team on the dashboard and alerting rules.
Can Stimulus integrate with our existing dispatch or GIS tools?
Yes. The API and webhook delivery are built to feed predictions and verified alerts into systems your team already uses, rather than requiring a separate workflow.
How It Works

From raw signal to a team on the ground.

Four stages, from first prediction to a confirmed response — each one built to remove a specific point of failure in traditional detection.

01

Prediction

Stimulus continuously tracks high-risk weather activity across a region and scores the likelihood that each event will ignite a wildfire, using weather, fuel moisture, and terrain data. High-probability events are flagged for verification immediately — well before conventional methods would have any indication a fire exists.

Inputs
Weather · Atmospheric Activity · Fuel · Terrain
Output
High-probability events flagged for verification
Trigger
High-risk weather event detected
02

Verification

Once an event is flagged, Stimulus cross-references live satellite imagery, autonomous drone flights, ground crews, and available reporting to confirm whether an ignition actually occurred. Because this happens immediately after a high-risk event, Stimulus can confirm a fire up to 14 days before conventional methods — spotters, public reports, or aircraft patrols — would discover it, especially in remote, smoky, or densely canopied terrain where fires can smolder undetected for days or weeks.

Checks
Satellite · Drone · Ground Crew · Reports
Output
Confirmed ignition with confidence score
Accuracy
Located within 500 meters
Head start
Up to 14 days vs. conventional methods
03

Action

Verified alerts route directly to the responsible team — by region, severity, or asset proximity — with location, confidence, and a recommended response, either in the dashboard or through existing dispatch tools via the API.

Delivery
Dashboard · Email/SMS · API webhook
Output
Routed, actionable alert
04

Deployment & Response

With a verified, located alert in hand within minutes of ignition, crews can be mobilized immediately instead of waiting on delayed conventional detection. Outcomes are logged automatically, feeding the reporting and results data your team reviews afterward.

Enables
Immediate mobilization, not delayed reaction
Feeds into
Reporting & Results
Results

Where trust is built.

These figures come from active deployments — not modeled projections. Here's what they mean and how they're measured.

77%
Of fires predicted and independently verified in the 2026 season.
14d
The model is up to 14 days ahead of conventional detection methods.
500m
Typical proximity between predicted zone and actual ignition location.
80%
Precision rate — four in five flagged predictions are confirmed real ignitions.
Methodology

How these numbers are measured

Every prediction logged by the system is tracked to one of three outcomes: confirmed (an ignition occurred within the predicted zone and window), false positive (no ignition occurred and the prediction expired), or missed (an ignition occurred that the system did not flag). The 77% figure is the share of fires predicted and confirmed in the 2026 season. The 80% figure is the model's precision rate — four in five flagged predictions are confirmed real ignitions. The model is up to 14 days ahead of conventional methods (spotters, public reports, or aircraft patrols) in confirming an ignition, particularly in remote, smoky, or densely canopied terrain where fires can smolder undetected for days or weeks.
Built for Where You Operate

Calibrated to your biome, not a generic model

Stimulus doesn't run one fixed model everywhere. Each deployment is tuned to the specific vegetation, fuel type, terrain, and climate of the region it covers.

Vegetation & Fuel Type
Terrain & Elevation
Climate & Seasonality
Historical Fire Behavior
Case Studies

Verified events, by biome

Detailed write-ups of individual verified predictions, including timeline and response outcome.

Coastal Temperate Rainforest

Coastal river valley corridor

Ignition identified and alerted well ahead of confirmed detection by conventional methods, located within a predicted 500 m zone.

Boreal Forest Field Trial

Northern boreal zone

In a controlled field trial, a weather-driven ignition was confirmed using an autonomous drone flown on a pre-programmed flight path within hours of a high-risk weather event.

Interior Dry Forest

Southern interior valley

Ignition confirmed within hours of a flagged high-risk weather event — well ahead of when conventional patrols would have discovered it in this interior forest terrain.

Industries

Built for the teams accountable for wildfire risk.

Each sector faces wildfire risk differently. Select an industry to see how Stimulus applies to it.

Government & Wildfire Agencies
Utilities
Energy
Mining
Forestry
Conservation & Land Management
Government & Wildfire Agencies

Coordinating response across an entire region

Challenge

Crews and aircraft need to reach a new ignition fast, across a jurisdiction too large to patrol manually — and remote or obscured fires can go undetected for days.

How Stimulus Helps

Region-wide weather-trigger tracking and verification gives dispatch a ranked, confidence-scored view of confirmed ignitions — detected up to 14 days before conventional methods would discover them.

Expected Outcome

Faster crew response, fewer reactive dispatches, and a defensible record of predicted-vs-actual performance for reporting.

Utilities

Protecting infrastructure along transmission corridors

Challenge

Equipment failures near dry vegetation are a leading ignition source, and corridors span terrain that's hard to patrol continuously.

How Stimulus Helps

Ignition risk scoring along asset corridors, with alerts tied to specific line segments and substations via API.

Expected Outcome

Earlier public safety power shutoff decisions and a documented risk trail for regulatory review.

Energy

Safeguarding remote and high-value assets

Challenge

Well pads, pipelines, and facilities are often in remote, fire-prone terrain with minimal on-site monitoring.

How Stimulus Helps

Continuous prediction coverage around facility footprints, with verified alerts routed straight to site operations.

Expected Outcome

Faster shutdown and evacuation decisions, and reduced unplanned downtime from late-notice fire events.

Mining

Keeping operations and personnel ahead of risk

Challenge

Open-pit and remote operations carry ignition risk from equipment and terrain, with crews on-site around the clock.

How Stimulus Helps

Site-level risk scoring integrated into existing safety and operations dashboards via API.

Expected Outcome

Advance notice built into existing safety protocols, rather than a separate system to monitor.

Forestry

Protecting managed timber and land assets

Challenge

Large, managed forest holdings need continuous risk visibility across seasons of shifting fuel moisture.

How Stimulus Helps

Seasonal and real-time fuel and ignition risk scoring across full land holdings, with exportable reporting for land managers.

Expected Outcome

Better-timed harvest, thinning, and access-restriction decisions based on live risk data.

Conservation & Land Management

Protecting habitat and land holdings before fire reaches them

Challenge

Land trusts, conservation groups, and watershed managers are responsible for protected land they can't monitor around the clock, where a single fire season can undo years of restoration or contaminate a water supply.

How Stimulus Helps

Ignition risk scoring across protected land holdings and watersheds, with verified prediction and historical event data exportable for independent research and reporting.

Expected Outcome

Earlier access restrictions, better-protected habitat and water sources, and stronger evidence to support conservation and land-management decisions.

About

Built by people who wanted a warning system that actually warns.

Stimulus started from a simple observation: the technology to predict fire risk existed, but the systems operators actually used still relied on spotting fires after they'd already started. We built the platform we thought should exist.

Mission

Give the people responsible for wildfire risk a real head start.

Every part of the platform — prediction, verification, alerts, reporting — is built around one goal: turning raw environmental data into a warning that arrives early enough to change the outcome.

Research Background

Our prediction models draw on peer-reviewed fire behavior research and are validated continuously against real outcomes in active deployment regions, not just historical datasets.

Company Story

What began as a modeling project for a single fire-prone region has grown into an operational platform that calibrates itself to the vegetation, terrain, and climate of each new biome it's deployed in.

Partnerships

We work directly with the agencies, utilities, and operators using the platform to keep prediction models grounded in the conditions of the regions they serve.

Team

The people behind the platform

Founder & CEO

Platform strategy & operations

Head of Modeling

Prediction engine & validation

Head of Engineering

Platform, API & integrations

Head of Field Operations

Regional deployment & partnerships
Partnerships

Working alongside the field

Stimulus is developed in ongoing collaboration with regional fire agencies and research partners across our active deployment areas.

Regional Fire Agencies
Regional Land Management Partners
University Fire Behavior Research Groups
Request a Demo

See predictions for your region.

Tell us a bit about your operation and we'll set up a walkthrough tailored to where you work.

What to expect

Every request is reviewed by our field operations team, not a generic sales queue.

01

Response within 1–2 business daysA member of our team will follow up directly to confirm scope and timing.

02

A live walkthrough for your regionWe'll show prediction and verification data for the area you actually operate in, where available.

03

No obligation, no pressureThe demo is a working session to see if Stimulus fits your operation — not a sales pitch.