Anticipate risk before it turns into failure.
Grid Sentinel integrates satellite intelligence, climate data and artificial intelligence to anticipate risks, prioritize interventions and strengthen the reliability of electrical distribution networks.
Thousands of kilometers of network. Millions of environmental signals. One question: what should we maintain first?
Utilities manage extensive networks where risk changes continuously due to vegetation, wind, temperature, wildfire conditions, and seasonality. Grid Sentinel transforms this complexity into a prioritization system.
Every segment analyzed through satellite intelligence, climate models, and AI — not just monitored.
Act before failure. Allocate resources where evidence shows the highest risk.
Transform complexity into clarity. Prioritize your maintenance plan.
Risk is not distributed equally across the grid.
Why maintain every segment the same way?
How Grid Sentinel Works
From environmental data to action: continuous intelligence to anticipate risks and prioritize network maintenance.
Network Digitalization
Each network segment is structured as a geospatial unit of analysis with unique characteristics and location.
Earth Observation
Satellite imagery enables observation of territorial conditions around the infrastructure at scale.
Climate Intelligence
Integration of meteorological variables, seasonal patterns, and environmental models.
Hazard Modeling
Specialized models analyze vegetation, wind, and wildfire threats for each segment.
AI Risk Analysis
Models combine multiple signals to estimate relative risk per segment across the entire network.
Risk Classification
Each segment is classified by risk level: Low, Medium, High, or Extreme.
Maintenance Prioritization
The platform transforms risk scores into an operational priority ranking for your network.
Decision Support
Maintenance managers decide where to inspect, intervene, and which threats to address first.
One network. Multiple hazards. One intelligence layer.
Grid risk emerges from interacting conditions — not isolated variables. Grid Sentinel analyzes vegetation, wind, and wildfire simultaneously across the same infrastructure.
Vegetation Risk
Satellite-derived vegetation analysis identifies proximity, density, and growth patterns along the right-of-way.
- Vegetation proximity to infrastructure
- Vegetation density mapping
- Growth pattern analysis
- Right-of-way exposure
- Potential interference zones
Wind Risk
Wind models overlay terrain and infrastructure to identify segments with dynamic exposure under varying atmospheric conditions.
- Wind speed modeling
- Gust analysis
- Segment exposure mapping
- Seasonal wind patterns
- Terrain interaction analysis
Wildfire Risk
Wildfire risk layers connect territorial fire conditions with network infrastructure to identify exposed segments.
- Fire occurrence data
- Fire proximity analysis
- Vegetation condition index
- Environmental exposure
- Potential propagation zones
Risk emerges from interacting conditions
A single segment exposed to high vegetation density, wind gusts, and dry conditions simultaneously presents compounded risk — not just three separate issues. Grid Sentinel models these interactions to produce a unified risk assessment.
Turn risk into a maintenance plan.
Grid Sentinel goes beyond risk: it identifies where to act first, what to prioritize, and how to focus maintenance across the entire distribution territory.
Normal monitoring
Monitor / Analyze
Inspection priority
Immediate attention
Maintenance Priority Ranking
DEMO DATASegment 458
From observation to protection.
Every Grid Sentinel capability follows a single operational logic — transforming environmental intelligence into grid reliability.
Understand the network and its environment.
Satellite observation of territorial conditions around every network segment.
Identify where risk is increasing.
AI models integrate environmental, climate, and hazard signals to forecast risk evolution.
Identify which network segments require attention first.
Transform the risk into a prioritized intervention sequence for the entire network.
Inspect and maintain strategically.
Manage brigades to the highest priority segments through traceable and evidence-backed decisions.
Strengthen grid reliability.
Proactive maintenance reduces exposure before environmental risk becomes an operational problem.
Business Impact Categories
Grid Sentinel supports measurable operational improvements across key reliability dimensions.
Turn grid risk into action.
It anticipates environmental risk using satellite intelligence, climate models, and AI, and prioritizes maintenance before it impacts network operation.