In pharma, portfolio choices are discrete—not continuous. We adapt the efficient frontier to reflect real-world investment decisions using ROI and risk to guide strategy transparently.

Captario’s dynamic sales modeling adapts forecasts to launch timing, competition, and efficacy—enabling faster scenario testing and better investment decisions.

In our latest article, we developed eight different project portfolio optimization strategies to account for varying risk appetites, budget constraints, and strategic priorities. These strategies help decision-makers explore multiple perspectives rather than relying on a single optimal solution. The strategies are structured around two main strategic focuses: 1️⃣ Ensuring Revenue Targets (>X) -- Achieve a mean revenue target while minimizing total cost -- Ensure a minimum yea

New article explores optimizing portfolio replenishment for long-term impact—balancing project phases, disease area coverage, and targeted launches in pharma strategy.

Parameterized forecasts in Captario SUM adapt sales projections to real-world uncertainty—aligning launch timing, risk, and performance to support smarter project and portfolio decisions.

NextGen Captario SUM introduces Project Generators—enabling dynamic, template-based simulations to explore strategy, risk, and growth in pipeline and revenue planning.