Show Notes
The western US faces a trillion-dollar mitigation gap, a policy window that's finally opening, and a wildfire crisis that is accelerating faster than the industry being stood up to fight it. In this episode of BUILDERS, we sat down with Allison Wolff, CEO of Vibrant Planet, to hear how she's built the platform that agencies, utilities, and policymakers use to decide where to put limited dollars before communities burn. Topics Discussed: How Vibrant Planet's ML-trained vegetation structure layer — built on LiDAR and refreshed with satellite imagery — provides the spatial and temporal resolution that makes fine-scale fire modeling possible
The statewide Cal Fire contract Allison announced on this episode: deploying across all 21 units and six contract counties to prioritize $1.4 billion in Prop 4 funding
How Vibrant Planet functions as the optimization engine for constrained public budgets when treating the entire western US would cost an estimated $1 trillion
How Allison testified before Congress after the Altadena fire using her platform's own post-fire analysis: $9 million in strategic forest thinning could have potentially slowed a fire that caused $40 billion in insured losses
Why Vibrant Planet invested in a lobbyist — and how that investment shaped Congressional testimony, navigated new federal contracting red tape, and helped position the company for an emerging class of outcomes-driven state mandates
How the supply certainty Vibrant Planet's platform produces can unlock private investment in adjacent industries: biochar, cross-laminated timber, prescribed fire workforce
Why wildfire is one of the only genuinely apolitical issues in Washington right now, and what that creates for companies in the space
GTM Lessons For B2B Founders: Build the optimization layer, not just the data layer. Vibrant Planet's core product isn't a data platform — it's a recommendation engine that answers "where do we put the money to get the most impact" when treating everything is impossible and every dollar has political and scientific accountability attached to it. Allison described customers who were previously allocating treatment budgets based on whoever was loudest in the grant cycle. Vibrant Planet replaced that with objective, reproducible prioritization. In markets where buyers face constrained budgets and high-stakes tradeoffs, the product that owns the decision architecture — not just the data inputs — is the one that becomes structural.
Congressional testimony is a GTM channel. Allison testified before the Natural Resources Committee nine months before this episode using Vibrant Planet's own platform outputs: animated fire spread models, community risk profiles, thousand-community comparisons to Altadena. The result was a credibility signal and a demand signal that no case study produces. In infrastructure, climate, and regulated industries, policy engagement isn't separate from sales — it shapes the budget categories your customers are allowed to spend from. Founders in these sectors should treat time in front of legislators the same way they treat an enterprise reference customer.
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