
VEGETATION MANAGEMENT SOLUTIONS
Stop outages and fires in one spend.
Overgrown trees, brush, and dry grasses spark and spread fires that cause billions in annual damages. With Technosylvas’s AI-powered forecasting, your vegetation management budget can address outage threats while also planning for fire risks. Resources go where they matter most, reducing outages today and building resilience against rare but catastrophic events.

Move from reactive to proactive.
Vegetation impacts are the #1 cause of power outages, leaving electric utilities vulnerable to both wildfire ignition and long-term service disruption. Unlike traditional vegetation management that relies on scheduled maintenance cycles, Technosylva models adapt to changing conditions by capturing the dynamic interplay between weather and vegetation on an hour-by-hour basis.
Tools to act and insights to plan:
- AI analysis of weather, real-time fuel conditions, and utility assets at risk
- Enhanced fuel types and live fuel moisture content modeling validated against fire spread behavior
- LIDAR and machine learning to align efforts with risk profiles
- Integration with over 1 billion daily wildfire simulations
- Proven technology used by utilities and fire agencies to manage over 20,000 fire incidents a year
- Advanced integrations with existing vegetation data providers, like AIDash, bridge internal siloes
- Continuous monitoring supports vegetation planning, emergency response, and after-action evaluation.
Real-Time Data
Know now with AI.
Vegetation conditions change constantly due to weather and climate patterns. Our science-driven, AI-powered analytics integrate with your broader wildfire risk planning and response to deliver real-time asset-risk data on vegetation density, fuel load and moisture, drought stress, and growth patterns.

Predictive Encroachment Analysis
Know precisely how and when specific types of vegetation will enter minimum clearance and defensible space thresholds using satellite imagery, growth models, historical growth rates, and climate data.

Prioritized Maintenance Scheduling
Improve efficiency by optimizing scheduling, resource allocation, and risk prioritization. Move beyond fixed cycles to focus on areas where intervention has the greatest impact, including low-probability but high-consequence risks.

Regulatory Compliance Reporting
AAddress increasing regulatory pressures like CPUC, FERC, and state requirements to demonstrate vegetation management actions taken beyond the “routine.” Demonstrate what was done and why with cost-benefit data regulators can trust.

Cost Optimization Analytics
Protect limited budgets by moving from blanket maintenance to targeted, risk-driven actions. Direct spending to the areas of highest consequence and make the cost-benefit clear to regulators.

Critical Decision Support
Access real-time data and risk modeling to guide Public Safety Power Shutoffs (PSPS) and Enhanced Powerline Safety Settings (EPSS) decisions driven by vegetation conditions. Balance immediate safety with long-term service reliability.
Critical technology for fire prevention and grid reliability

Electric Utilities
Analyze Technosylva models to plan, monitor
and execute all vegetation-related activities
around their assets

Fire Agencies
Rely on Technosylva to map fuel types, identify hazardous vegetation buildup, and design prescribed burns.