Broadly
Risk estimation quantifies the probability and/or severity of harm resulting from exposure to a hazard. It may be deterministic (single-point estimate) or probabilistic (distribution-based), depending on the data and context. This method forms the numerical backbone of most quantitative risk assessments. Its effectiveness depends on data quality, model design, and uncertainty treatment.
More specifically
RSI performs risk estimation across a range of domains—from chemical exposure to system failure probability. Its teams use validated models, peer-reviewed parameters, and uncertainty characterization to deliver clear and actionable risk metrics. RSI ensures that estimates are traceable and appropriately qualified for the intended decision-making context.