Modeling and Predictive Analytics
Effective modeling and predictive analytics are essential for anticipating risks, evaluating interventions, and informing operational, financial, and policy decisions under uncertainty. Strong models enhance planning, resilience, resource optimization, resulting in strategic and financial value to the organization and strategic credibility.
How RSI delivers Modeling and Predictive Analytics
RSI develops purpose-built, scientifically validated models and predictive tools tailored to complex, high-stakes decision environments. These solutions enable scenario testing, risk ranking, and resource optimization, and are grounded in evidence and expert judgement.
Why RSI is trusted to deliver
RSI brings over 30 years of experience in modeling and predictive analytics across a wide range of scientific and operational domains—including food systems, chemicals, transportation, pharmacokinetics, and catastrophic event simulation. Our work has produced peer-reviewed scientific publications and rigorously evaluated modeling tools, many of which have become foundational to regulatory and operational practice. Our engineers, computer scientists, among others, have supported major federal regulators, including Health Canada, the EPA and FDA, with technology products that meet high standards of scientific credibility, reproducibility, and decision-readiness and with our presence on multiple expert panels with WHO, FAO, and multiple other scientific organizations.
Understanding, managing, and communicating risk
Why this image?
Modeling and predictive analytics help us see the chain reactions before they happen—and intervene before consequences cascade. The image of a finger stopping a line of falling dominoes captures this perfectly: it illustrates how insights drawn from data can interrupt negative trajectories, prevent unintended outcomes, and support timely, proactive decisions. It’s not just about prediction—it’s about prevention.