Overstory utilizes machine learning and remote sensing technologies, including satellite and aerial imagery, to generate actionable vegetation intelligence for utility companies. This data-driven approach helps utilities manage vegetation risks, reduce power outages, and optimize their vegetation management budgets in the face of increasing operational challenges.
Funding
$25.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+3Founders
Product
Problem
Vegetation poses a significant threat to power grids, causing outages and wildfires, while traditional vegetation management practices often lack advanced technology and analytics, leading to inefficient resource allocation and reactive responses to emerging risks. Utilities face rising expenses, labor shortages, and increasingly extreme weather events, making proactive, data-driven vegetation management crucial.
Solution
Overstory provides actionable vegetation intelligence by applying machine learning to remote sensing data sources, such as satellite and aerial imagery. The platform combines this data with local information like asset location, wildfire maps, and terrain to deliver insights that enable utilities to optimize resources, reduce risks, and improve grid reliability. By shifting from cycle-based to risk-based vegetation management, utilities can prioritize impactful work, minimize unnecessary trimming, and proactively address encroachment, hazard trees, and wildfire risks. The solution helps utilities build resilience and predictability into their operations programs, preparing them for changing weather trends, limited budgets, and workforce constraints.
Target Audience
Overstory primarily serves investor-owned utilities, cooperatives, and municipalities across North and South America and Europe responsible for vegetation management around power lines.
Features
- AI-powered analysis of satellite and aerial imagery for detailed vegetation mapping and health assessment
- Integration of asset location, wildfire maps, and terrain data for comprehensive risk modeling
- Identification of encroachment, hazard trees, and wildfire risks for proactive mitigation
- SAIDI impact analysis to gauge the success of risk-based vegetation management
- Forest health monitoring dashboard for tracking vegetation changes and trends