The company’s technical edge lies in the use of Sequential Monte Carlo (SMC) methods within STAN Version 3, but trading model complexity for parallelism — a major computational leap that enables real-time Bayesian risk analysis. This allows insurers, reinsurers, and all alternative risk-transfer vehicles to dynamically update their understanding of capital adequacy, reserving, and exposures under rapidly evolving conditions.

Traditional capital models are built on fixed assumptions, periodic recalibration and heavy regulatory overhead. Intellegri’s approach replaces this with an intelligent, self-updating system that captures uncertainty as it happens — turning risk management into a live process rather than a retrospective exercise.