Xyloplan for Insurers

What sets XyloPlan apart:

• Built for today’s fast fires

  XyloPlan was purpose-built to model fast-moving, wind-driven fires that move from vegetation into neighborhoods and urban blocks, resulting in city-scale loss. Unlike traditional wildfire or urban models, our platfrom captures the real dynamics that drive catastrophic claims.

• Quantify risk at the parcel level

  XyloPlan produces numeric, defensible risk scores for individual homes and parcels, integrating Fire Pathways, structure vulnerability, and environmental factors. This granularity enables underwriters to price policies accurately and target high-risk areas for mitigation incentives.

• Visualize exposure and understand potential loss

  Animated fire simulations show how fires are likely to spread, where correlated losses may occur, and which communities are most at risk. Visualizations help insurers understand and explain likely loss patterns and better manage portfolios.

• Evaluate mitigation ROI

  XyloPlan models the effect of mitigation actions, showing how home hardening, defensible space, or vegetation treatment reduces risk. Insurers can quantify potential reductions in loss, encouraging investments in community resilience and lowering claims exposure.

• Align with communities and fire agencies

  XyloPlan creates a shared, science-based framework that unites insurers, fire agencies, and residents around consistent risk data. Alignment ensures mitigation efforts are measurable and defensible, supporting regulatory reporting and public-facing initiatives.

• Model complex, real-world fire behavior

  XyloPlan incorporates wind, terrain, fuels, and structure density to simulate fire spread realistically. It models Phase-based spread (Wildland → Transition → Urban), ember transport, and urban conflagration potential, producing data insurers can trust for managing portfolios.

• Track progress and celebrate wins

  Measure how community efforts reduce risk over time and share results with neighbors, HOAs, and local agencies.