The Problem
Stop fighting your spreadsheets.
1
Evidence is fragmented
Clinical data, epidemiology, pricing, access, analogs, and market assumptions are scattered across reports, spreadsheets, PDFs, and internal documents.
2
Assumptions are hard to defend
Teams often struggle to see where an assumption came from, when it changed, who approved it, and why it matters to the forecast.
3
Models depend on power users
Forecast logic is trapped in complex Excel workbooks maintained by one or two people, creating key-person risk and limited scalability.
4
Scenarios move too slowly
Leadership asks urgent "what-if" questions around launch timing, price, access, competition, and uptake—but manual model updates can take days.
