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Save one location and test baseline weather monitoring in an authenticated dashboard.
AI-ASSISTED UTILITY OPERATIONS INTELLIGENCE
Predict outage risk before disruptions escalate.
GeoGridIQ combines outage data, weather intelligence, vegetation signals, critical infrastructure exposure, and machine learning to help utility teams prepare before conditions escalate.
Feature testing
Personalized grid intelligence features are being tested.
GeoGridIQ is testing saved locations, weather risk widgets, vegetation intelligence, outage prediction cards, and business-ready dashboard workflows. Paid plans are not live yet.
Pro feature testing
Outage prediction cards, vegetation widgets, and expanded saved-location monitoring are being prepared.
Business readiness
Multi-site monitoring, critical infrastructure context, and reporting workflows are in preview.
What is GeoGridIQ?
Utility operational intelligence for climate resilience.
GeoGridIQ is a utility operational intelligence and climate resilience platform for outage prediction, vegetation risk, weather intelligence, critical infrastructure monitoring, and operational preparedness.
Why this matters
Outage response often starts too late.
Storms, vegetation pressure, and infrastructure exposure can combine quickly. GeoGridIQ helps teams detect risk before it becomes a customer-impacting outage.
Weather changes fast
Wind, rain, snow, lightning, and soil saturation can rapidly increase grid stress.
Vegetation risk is hard to prioritize
Dense canopy, NDVI signals, and proximity to power infrastructure help identify where trimming and inspection matter most.
Critical assets need early warning
Hospitals, telecom, water, emergency services, and transportation assets require earlier visibility when risk rises.
Platform modules
One command center for grid risk intelligence.
Understand where risk is building, why it is happening, and what teams should review next.
Live Outage Map
Track outage locations, affected customers, causes, status, severity, and regional clustering.
Live GIS layerWeather Intelligence
Score wind, gusts, precipitation, rain, snow, temperature stress, and severe conditions.
Forecast risk scoringVegetation Intelligence
Use Sentinel-2 NDVI signals to understand canopy pressure around exposed regions.
NDVI pressure enabledCritical Infrastructure
Identify exposed hospitals, substations, telecom, water, emergency, and transportation assets.
Impact context readyHybrid Prediction Engine
Hybrid XGBoost + deterministic rules engine with confidence scoring and explainable drivers.
Model confidence enabledCrew Readiness
Surface staging recommendations, nearby crews, response radius, and operational briefings.
Review action suggestedHow it works
Data sources become explainable operational action.
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01
Data Sources
Outages, weather, vegetation, infrastructure, geography, and historical patterns.
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02
Risk Scoring
GeoGridIQ calculates risk signals across regions and infrastructure layers.
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03
Prediction
The platform estimates outage probability, severity, confidence, and expected impact.
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04
Explanation
Each prediction includes the main drivers behind the risk.
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05
Action
Operators review recommended staging, monitoring, and preparation actions.
Explainability
Every prediction should answer why.
GeoGridIQ does not just show a risk score. It explains what is driving the forecast so operators can trust, review, and act on the intelligence.
Predicted Risk
Severe
Probability
84%
Confidence
81/100
Wind gusts above operational threshold
+38%
Dense vegetation detected near affected region
+27%
Historical outages nearby
+19%
Heavy rainfall increasing soil saturation
+14%
Critical infrastructure exposure detected
+16%
Recommended Review
Stage crews near Laval and monitor high-risk feeders.
Who it supports
Built for teams responsible for keeping power reliable.
Utility Operators
Monitor outage risk, regional severity, and operational briefings in one place.
GIS Analysts
Combine outage, weather, vegetation, and infrastructure layers into actionable geospatial intelligence.
Emergency Planners
Identify exposed hospitals, telecom, water, transportation, and emergency service assets.
Field Supervisors
Review crew staging recommendations before storm conditions escalate.
Grid Resilience Teams
Validate prediction performance and understand where infrastructure is most exposed.
Trust and safety
AI-assisted. Operator-reviewed. Explainable by design.
GeoGridIQ is designed as a decision-support platform. Predictions include confidence scoring, explainable drivers, and safe fallback logic so teams can review the intelligence before acting.
Confidence scoring
Every prediction includes a confidence value so teams understand how much trust to place in the forecast.
Rules fallback
When machine learning signals are unavailable or unreliable, deterministic fallback logic keeps the platform operational.
Human review
GeoGridIQ supports operators. It does not replace operational judgment or automatically dispatch crews.
XGBoost outage prediction agent
Public pages show a high-level prediction workflow while detailed model telemetry stays protected inside authenticated dashboards.
rules-based safety layer
Always available for broad operational surfaces, missing inputs, low-confidence cases, and authenticated model safeguards.
Forecast accountability
A prediction system should measure itself.
GeoGridIQ tracks model availability, training evidence, precision, recall, and safe fallback mode.
Hybrid engine ready
Protectedtraining samples
Protectedpositive samples
Measuredholdout accuracy
Measuredprecision
Measuredrecall
Hybridsafe fallback mode
Technical credibility
Built on an open geospatial intelligence stack.
Django
PostgreSQL/PostGIS
MapLibre
GeoServer
pg_tileserv
pg_featureserv
Docker
Terraform
Open-Meteo
Sentinel-2 NDVI
XGBoost
Redis
Build before the next storm
Build smarter utility operations before the next storm.
Explore live outage intelligence, prediction confidence, weather-driven risk, vegetation exposure, and critical infrastructure impact from one operational dashboard.