Solutions

Wildfire Mitigation

Go from understanding wildfire conditions around the network to understanding exactly how your assets behave, and what drives failures within them.

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See how all wildfire risk variables intersect

You already understand the primary wildfire risk variables. Now understand how they interact across your entire network. Bring pole loading, asset condition, vegetation, GIS accuracy, weather, and consequence together in a physics-backed model to simulate a range of outcomes, and calibrate wildfire mitigation investment with confidence.

Align and sequence inspections around shared risk outcomes, bringing vegetation and equipment work together at the right time.

Justify targeted hardening with a defensible business case for undergrounding, covered conductor, and pole replacement based on clear ignition-reduction potential.

Prioritize by combined risk where equipment condition, vegetation, weather, and consequence combine to create the highest wildfire risk.

The problem

Programs address individual risks, but wildfires emerge from their combination

Even the most mature wildfire, vegetation, and asset programs are forced to evaluate contributors to risk separately, yet risk emerges across the network as a whole. Because workflows run on different cycles, managed by different teams with access to different data, the most consequential risks are hard to identify, prioritize, and prove mitigated, while lesser offenders draw disproportionate attention.

  • 95°F heat and a leaning pole pull conductors down into overgrown hillside brush
  • An overutilized pole missing from GIS, with unmanaged oak encroachment, hides an ignition risk
  • Worn spacers plus 40+ mph crosswinds clash conductors beneath an otherwise cleared eucalyptus canopy

Seemingly manageable vegetation, equipment, and weather conditions look fine inside individual programs, but taken together in everyday reality they interact to create outsized wildfire risk.

From program-level outputs to customer outcomes

From To
Uncoordinated inspection plans Sequenced, risk-based inspection programs
Asset-level risk scores Network-level ignition risk
Identifying vegetation encroachment Removing vegetation risk
Demonstrating compliance Demonstrating wildfire risk reduction
Identifying dangerous asset defects Understanding how defects, vegetation, and weather interact

Make better wildfire decisions with modeled outcomes

When every wildfire risk variable lives in one physics-backed model, you can trade off cost, risk, and customer impact with evidence rather than instinct.

Execute more informed PSPS decisions moving past broad weather thresholds to see which feeders truly warrant PSPS, and which can safely stay energized.

Maximize wildfire risk reduction per dollar seeing which investments cut the most risk span by span, and where covered conductor or undergrounding fits best.

Establish the optimal mix of mitigation work by quantifying how much vegetation work, spacers, pole replacement, and undergrounding each reduce risk per span.

Untangle customer impact trade-offs across cost, risk, affordability, and customer interruptions, so every call reflects real customer impact.

Real-world applications

Simplifying and strengthening a mature wildfire program

Simplifying and strengthening a mature wildfire program United States
$6-12M in annual
cost savings
Reconciliation effort before
With one model

The Challenge

The utility had built one of the industry's most sophisticated wildfire mitigation programs, but needed a more transparent, flexible way to explain, validate, and expand it as regulatory expectations grew more complex.

The Analysis

By simulating the same scenarios in a single physics-based environment, the team compared the efficacy of different mitigation activities using a common methodology, instead of reconciling results across multiple independent models.

The Outcome

A more understandable and defensible foundation for regulatory reporting, and $6-12 million in annual cost savings.

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From wildfire analytics to ignition simulation

From To
Identifying risk factors Understanding risk interactions
Spreadsheets Physics-backed simulation environment
Complex internal models reliant on institutional expertise Auditable models anyone can understand
Historical ignition patterns Simulated future conditions
Compliance-driven planning Risk-driven investment

Explore all workflows

Wildfire Mitigation

Wildfire Management

Proactively eliminate network fault risks and minimize community impact before a spark occurs. Your digital network model provides a physics-based view of where fires are likely to start. Use this insight to neutralize threats and optimize your response. Instead of reacting to outages, you can now simulate how every span reacts under extreme conditions to accelerate recovery.

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  • Simulate how all network components react under extreme heat and wind to identify assets likely to ignite.
  • Know exactly which parts of your network are most vulnerable without jeopardizing your team during field visits.
  • Defend your decisions with defensible engineering that demonstrates how you minimized risk across your network.

Eliminate ignition risks network-wide

Simulate wildfire scenarios before they unfold, moving from manual sampling to network-wide visibility.

  • Find low-hanging lines and overloaded poles at a glance, without field sampling.
  • Pinpoint exactly where sag and sway will breach safe clearance during high-heat events.
  • Target your asset replacement budget at the specific spans that deliver the highest risk reduction.
  • Justify every dollar with high-fidelity structural data instead of statistical trim-cycle guesses.

Life-saving situational awareness

Replace fragmented data with a single source of truth for how wildfires affect your assets and community.

  • Integrate live weather and historical data for immediate, shared situational awareness.
  • Stay aligned with emergency responders from the first minute of an event.
  • Direct multiple workstreams simultaneously as conditions escalate.
  • Know exactly which circuits to de-energize to protect the public.

Restore power with a defensible audit trail

Safely restore power by pinpointing which critical lines need immediate reinforcement.

  • Distinguish damaged assets from those safe to re-energize.
  • Procure the exact components needed from simulated damage assessments, bypassing supply chain delays.
  • Resume operations with a traceable, data-driven record of accountability.
  • Give regulators a clear audit trail proving your response was thorough.
Wildfire Mitigation

Vegetation Management

Fair weather field inspections only show vegetation on its best behavior. You can now simulate high winds, rainfall, and extreme temperatures to reveal actual interruption and wildfire risks. This risk-based approach empowers your team to focus on proactive triage and remediation. You can move away from reactive, fragmented work orders and start managing your network with total visibility.

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  • Inspect every tree in your network with a few clicks instead of sampling small segments at a time.
  • Upgrade from manual guesstimates to work orders with unparalleled accuracy to complete work 50% faster.
  • Get precise clearance reports into field hands in days while justifying every budget decision with traceable logic.

Assign clearance reports in days, not months

Prioritize encroachment, fall-in, and grow-in risks more effectively to accelerate remediation cycles.

  • Audit your entire network digitally instead of just what you see during a site visit.
  • Trade heuristic assumptions for physics-based precision when prioritizing spans.
  • Confirm every P1 is a legitimate threat rather than a false alarm.
  • Spend field time and contractor budget on the highest-consequence risks.

Reduce outages and improve reliability metrics

Cut outages by moving from cycle-based trimming to risk-based maintenance.

  • Simulate high winds and ice storms that unravel normal-course clearance logic.
  • See exactly how and where to respond without setting foot in the field.
  • Surface lookalike trouble spots prone to outages by equipment and environment.
  • Improve SAIDI and SAIFI by neutralizing threats before they trigger a lockout.

Combat wildfire ignition risk

Evaluate ignition risk across every span from a defensible digital model, because manual estimates cannot keep pace with today's fire environments.

  • View how vegetation responds to high winds and equipment sag from your desk.
  • Stop second-guessing whether a P1 was missed or field time was misdirected.
  • Protect your standing and community with a traceable record for every span.

Codify "urgent" and "done" across your workforce

Define consistent urgency criteria once and enforce it network-wide through your digital model.

  • Eliminate unnecessary repeat field visits to check work order status.
  • Use your network model as a shared source of truth for all work in flight.
  • Transform clearance reports into durable digital artifacts, not papered work orders.
  • Reduce barriers to action and drive down total O&M costs.

Bulletproof your vegetation budget

Make budgeting a data-driven exercise when you know exactly what needs to be done and when.

  • Secure your budget with total visibility across priorities and underlying costs.
  • Understand financial trade-offs of mitigating risks to negotiate with contractors.
  • Justify every line item with defensible engineering and the efficiencies you unlock.
  • Turn your budget from a point of friction into a strategic asset.
Wildfire Mitigation

Clearance Analysis

Your ability to meet safety mandates should not depend on unpredictable field variables. Maintain constant situational awareness across all assets to see exactly what they are in danger of touching. You can simulate stressors like extreme weather or high-heat load scenarios to understand how every span responds. This physics-based view empowers you to prepare for the unexpected without sending crews into the field.

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  • Identify and mitigate clearance hazards with more accuracy than manual field measurements allow.
  • Reduce violations by customizing thresholds throughout your network to provide a safety buffer.
  • Anticipate future clearance hazards under extreme sag and sway to ensure you are never caught off guard.

Sharpen your risk detection abilities

Pinpoint current and future clearance risks before they manifest in the physical world.

  • Cover third-party structures, telco lines, and private cables.
  • Analyze ground elevation and vegetation encroachment alongside your own line crossings.
  • Move from sampling to total, network-wide visibility.
  • Manage the risks that traditional inspections often overlook.

Violation-proof your network

Ensure your network meets all legal and regulatory requirements to avoid costly violations.

  • Assess clearance requirements near roads, railways, and public pathways instantly.
  • Raise the safety bar with custom clearance thresholds reflecting your engineering judgment.
  • Prove compliance to regulators with a traceable record of accountability.

Spot risks for today and tomorrow

Identify which weather or load circumstances present the greatest threat by simulating physical scenarios.

  • Assess clearance risk network-wide without increasing field-related safety incidents.
  • Target field visits to prioritize removal of high-consequence hazards.
  • Replace costly top-to-bottom manual surveys with targeted, data-driven remediation.
  • Improve both decision velocity and community safety with verifiable physics.
Wildfire Mitigation

Equipment Inspections

Stress-test and diagnose every single asset across the full lifecycle from repair, replacement, and reconfiguration without setting foot in the field and focus field time on validation and triage. Digitally inspect your equipment so you can see how every asset will respond to simulated gale force winds, flash floods, and more when you can't have your team out for the real thing.

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  • Prevent more outages and safety incidents by keeping your equipment in its best shape.
  • Stop manually answering the same hundreds of questions per pole. Leave the manual heavy lifting to AI and empower your team to focus on the right questions about improving resilience.
  • Be the first to know about critical vulnerabilities by simulating hundreds of mechanical and environmental variables, from heat waves to line tensioning, so you can see the unforeseen and take preventive action.

Replace, repair, or reconfigure?

Look to your network model for a 90% automated triage plan to get every asset in shape.

  • See which equipment needs attention and diagnose the right next step for each asset.
  • Choose whether to replace a concrete pole with steel, add a stay, or relocate.
  • Measure pole height, lean, bend, and conductor tension with precision at scale.
  • Stress-test your equipment to find and fix your weakest links.

Get pole load "just-right"

Find the ideal pole load so your efficiency never becomes the enemy of reliability or safety.

  • Maximize pole utilization for broadband joint use and expanding carrying capacity.
  • Avoid the catastrophic consequences of pushing pole utilization too far.
  • Stress-test every pole against hundreds of mechanical and environmental variables.
  • Find the right loading formula that supports productivity without risking failure.

Flag buddy poles

Automatically detect and flag double poles so you can maintain every asset, not just the ones in your GIS.

  • Find poles you cannot maintain today because you are unaware of them.
  • Detect double poles by height, type, and spatial relationships in your network model.
  • Get a clear lay of the land across every asset you are liable for.
  • Allocate maintenance work orders with confidence across all assets that need attention.

Safeguard against conductor clashing

See exactly where clashing and galloping are most likely and most severe, without relying on field surveys.

  • Track conductor behavior that changes on a dime in different conditions.
  • Pinpoint tension imbalances and structural flaws across every conductor in your network.
  • Layer on prime wildfire conditions or a hailstorm to test each span.
  • Act against short-circuiting and equipment failure before they happen.

Understand cumulative asset stress

Factor in how asset integrity changes over time as equipment experiences cumulative stress like cable creep.

  • Go beyond how assets stand today or fare in high winds, ice, or heat.
  • Simulate creep curves in custom increments based on the actual age of assets.
  • Layer in as many other variables as you see fit for thorough inspections.
  • Make the best lifecycle decisions with a view of stress over time.

Stay ahead of asset failure with network-wide FEA

Calculate strain and stress on all network components with AI-assisted FEA in your digital model.

  • Cover poles, spans, cross-arms, insulators, pins, and braces.
  • Detect hidden risks and prioritize replacements and repairs.
  • Evaluate which poles are at capacity and which can carry more load.
  • Keep every asset at peak performance, no matter where you are in the lifecycle.

See your network as one physics-enabled digital twin

Book a personalized demo and discover how leading utilities are transforming their wildfire programs.

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