Envitel offers insurers a data-driven wildfire risk assessment platform that replaces intuition‑based pricing with physics‑based simulations. Their engine runs tens of thousands of fire seasons to generate high‑resolution probabilistic burn probability maps across Europe, and an AI‑accelerated pipeline continuously updates models without lengthy release cycles. This enables more accurate underwriting and faster response to evolving wildfire hazards.
Funding
Funding not disclosed
Founders
Product
Problem
European insurers lack accurate, up‑to‑date information on wildfire exposure, relying on outdated datasets and subjective judgment, which leads to mispriced policies and unexpected loss spikes.
Solution
Envitel delivers data‑driven wildfire risk assessments by simulating tens of thousands of fire seasons with a high‑fidelity, physics‑based fire behaviour engine. The platform produces probabilistic burn probability maps at fine spatial resolution across Europe, enabling insurers to quantify exposure more precisely. An AI‑accelerated pipeline continuously ingests new data and updates the models, eliminating long release cycles and reducing dependence on intuition. The resulting hazard layers can be integrated into underwriting workflows, pricing models, and portfolio risk analytics to improve decision‑making and capital allocation.
Target Audience
Primary customers are property and casualty insurers, reinsurance firms, and underwriting teams that need granular wildfire exposure data for European portfolios.
Features
- High‑fidelity physics simulation engine that runs tens of thousands of fire season scenarios
- Probabilistic burn probability maps with fine spatial granularity covering the entire European continent
- AI‑accelerated data pipeline that updates models in near real‑time, removing 18‑month release cycles
- Continuous learning framework that incorporates the latest climate, vegetation, and land‑use data
- Exportable hazard layers compatible with common GIS and underwriting platforms