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AiDash

Infrastructure AI

Making critical infrastructure climate-resilient. Use satellite imagery and AI to manage vegetation, predict storm damage, and improve grid reliability.

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About This Tool

AiDash is an enterprise SaaS platform that leverages high-resolution satellite imagery and artificial intelligence to monitor utility infrastructure. It helps power companies prevent wildfires and outages by identifying overgrown vegetation near power lines and planning maintenance cycles efficiently.

How to Use

  1. 1. Upload your utility GIS network data (power line maps).
  2. 2. The system pulls real-time satellite feeds of your service area.
  3. 3. AI detects vegetation encroachment and growth rates.
  4. 4. View a prioritized map of “high-risk” zones for trimming.
  5. 5. Assign work orders to field crews directly via the app.

Key Features

🌳 Vegetation Mgmt
🌪️ Storm Impact
🌍 Carbon Credit

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Additional Information

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Use Cases

AiDash is widely used by major utility companies (Electric, Gas, Water) to automate the inspection of thousands of miles of transmission lines. It replaces expensive and slow helicopter or drone inspections with instant satellite data.

Intelligent Vegetation Management (IVM)

The core product, IVMS, identifies exactly where trees are growing too close to power lines. It predicts growth rates based on species and weather, allowing utilities to trim trees only where necessary, saving millions in operational costs.

Disaster & Storm Management

Before a storm hits, the AI predicts which areas of the grid are most vulnerable to falling trees. After the storm, it instantly assesses damage using satellite imagery to direct repair crews to the hardest-hit areas first.

Sustainability (BNG)

AiDash also offers “Intelligent Sustainability Management System” (ISMS) to help companies measure Biodiversity Net Gain (BNG). It tracks carbon sequestration in land assets, ensuring companies meet their environmental compliance goals.

Limitations

The platform relies on satellite visibility. While it uses multi-spectral imagery to see through some obstructions, extremely dense cloud cover over long periods can occasionally delay data updates in specific regions.