Hotspot detection
Identify wildfire ignition points in real time using satellite data.
AI-powered wildfire prediction and monitoring
Trusted by clients worldwide


















Wildfires are increasing in frequency and intensity, putting ecosystems, infrastructure, and lives at risk. Traditional monitoring methods often fail to provide timely insights needed to prevent escalation.
We work best with teams who treat software as an operating system for the business, not a one-off project.
Why wildfire response comes too late
Many systems rely on delayed satellite data or manual reporting, making early detection difficult. Continuous data from satellites and sensors is hard to process at scale. Without predictive models, teams lack visibility into high-risk zones and potential fire spread, leading to slower response and higher damage.
Common approaches
Where it falls short
Does this match your constraints?
Talk to us before you commit to another generic build.
Building blocks that keep delivery predictable under real operating load.
Identify wildfire ignition points in real time using satellite data.
Forecast fire movement using machine learning and environmental factors.
Visualise high-risk zones with heatmaps and layered data views.
Incorporate climate data to improve spread accuracy and predictions.
Combine ground sensor data like temperature and smoke for early signals.
Provide real-time alerts and unified dashboards for monitoring and response.
Step 1
Ingest satellite, weather, and sensor data continuously
Step 2
Process geospatial data for real-time analysis
Step 3
Apply AI models for risk prediction and spread simulation
Step 4
Deliver insights through dashboards and automated alerts
We build intelligent platforms that combine satellite imagery, IoT sensors, and AI models. Our systems continuously analyse environmental data to detect risks early, predict fire spread, and provide clear, actionable insights through unified dashboards.
What teams plan for when scope, integrations, and release are handled as one program.
Earlier detection of wildfire risks
Faster and more coordinated response efforts
Reduced environmental and economic damage
Improved planning with predictive insights
Straight answers procurement and engineering teams ask before a build kicks off.
MODIS, VIIRS, Sentinel-2, Landsat, and custom data providers.
Yes. Satellite + IoT enables monitoring even in isolated regions.
Yes. Alerts are triggered for hotspots, anomalies, and high-risk zones.
Yes. Our AI integrates wind, humidity, terrain, and vegetation.
Yes. Dashboards are responsive and accessible on mobile devices.
A software engineering team for complex operations. We build tools that fit how you work, not software that forces you to change everything overnight.
Discovery, build, integrations, testing, release, and follow-up once real users are in the product. You talk to engineers and leads who own the outcome.
Share scope, constraints, and timelines. We respond with a clear delivery approach, not a generic pitch deck.
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Tell us what you are building, which systems matter, and the outcome you need. We reply within 24 hours with a clear next step.
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