Start with a quick pass

The model runs a fast first-pass valuation using benchmark defaults. You don't need to specify every assumption upfront — just a company, indication, or program description.

See what drives the valuation

The sensitivity chart shows which assumptions move the needle most. It benchmarks your inputs against industry data — so you can see if you need this product to be a top-decile peak sales product for the valuation to work.

Refine what matters

You can prompt the tool to do deeper research on specific assumptions, like pricing or epidemiology. Or, you can ask it what you'd need to believe in order for a given assumption to be defensible — e.g., "what kind of TPP would be required to justify 30K peak patients?" or "what data would this product need to justify a 40% probability of success in Phase 2?"

If you guide it to specific websites or sources, it can find better answers — e.g., "review the literature to see what trial design elements improve pTS in neurological indications" or "search investor presentations to find more details on the launch of product X."