Critical Path Data Science develops wildfire simulation and optimization tools for fire and emergency-management professionals. Its pre-launch platform helps users explore how fires may spread, assess potential impacts on people and structures, and plan responses using interactive maps and scenario analysis.

The platform offers simulated 1-, 2-, 4-, and 8-hour fire-spread contours, along with counts of exposed structures and census block groups. Its Suppression Planner lets teams rehearse interventions such as control lines and tanker drops, compare response scenarios with an untouched baseline, and export results in KMZ or shapefile formats. A High-Risk Ignition Finder uses inverse optimization to identify ignition scenarios posing significant risks to structures or people. The Controlled Burn Planner supports prescribed-burn scheduling and suppression planning, while evacuation alert staging helps users develop alert waves that account for road capacity and simulated fire arrival.

The tools use level-set fire-spread simulation with fuel and terrain data, NOAA forecast weather, building footprints, and census vulnerability information.