FireBrake is building infrastructure to prevent wildfire escalation before it becomes disaster.

Wildfires increasingly behave as urban contagion events: once multiple ignitions occur, fire spreads structure-to-structure faster than response systems can scale. Traditional tools focus on detection and suppression after ignition. FireBrake focuses on the intervention window — when ignition probability is rising but outcomes are still steerable.

FireBrake develops AI-enabled sensing, environmental intervention systems, and wildfire data services designed to reduce ignition probability and slow fire reproduction across the wildland–urban interface (WUI).

Our approach combines:
• distributed sensing and environmental telemetry
• real-time risk modeling and AI-driven optimization
• targeted physical interventions that disrupt ignition and ember spread
• longitudinal wildfire risk data for insurers, utilities, and communities

This enables a new operational layer between mitigation and response — where measurable actions can reduce escalation risk before suppression capacity is overwhelmed.

FireBrake sits at the intersection of several emerging sectors:
• FireTech — next-generation wildfire defense
• InsureTech — correlated catastrophe risk reduction
• ClimateTech — climate adaptation infrastructure
• Community Infrastructure — visible, distributed resilience systems

Our mission is simple:
Protect communities by attacking the conditions that allow fire to escalate.

Because in urban wildfire disasters, the critical question is not how fast we respond — it’s whether we intervene early enough to keep the system from going critical.

FireBrake Interventions

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