CATIA is a catastrophe AI system that integrates advanced artificial intelligence, actuarial science, risk analysis, and machine learning to provide robust assessments of natural hazards such as hurricanes, floods, and wildfires, with a focus on financial impacts and mitigation strategies.

Full-stack catastrophe analytics workbench — property cat pricing, ILS parametric triggers, and portfolio risk engines. React + Fastify + Scala + BullMQ.

County-level winter weather loss analysis (SHELDUS) combined with snowfall accumulation data (NOHRSC) and upper-air weather variables (ERA5) to identify key drivers of Midwest DJF property damage.

Monte Carlo simulation of insurance losses using a frequency–severity model with Poisson claim frequency, lognormal and gamma severity distributions, and tail risk analysis.