How HOPE™ boosts your success
Synthesize exposure, effectiveness drivers and outcomes from clinical trials and observational data sources under a common Bayesian inference model for reliable results.
Understand how dynamic of exposure and other drivers of effectiveness influence outcomes in any user-defined virtual cohort. Effortlessly compare a range of scenarios once a situation is specified.
Estimate your real-world outcomes with unmatched speed for any number of simulations.
We’re driven by a commitment to removing the uncertainties between clinical trials and the real world so that you can succeed with credible outcomes guarantees.
Our team unites world class Bayesian Statisticians, epidemiologist, strategist and engineers from MIT, Cornell, McGill, BCG et al. who pioneered the industry's most advanced analytics and modeling frameworks.
Built on best-in-class modelling, mathematics, simulation and Bayesian statistics, HOPE allows for consideration of dynamic exposure and influence of risk factors in its predictions
We turn your clinical trial findings and population health knowledge into expected real world impact. Your organization aligns around reliable analytics and fact-based decision-making.