Most sizing tools hand you a number and call it done. Medlevate shows how the number was built: every population count, price band, and adoption rate, each labeled by where it came from.
You know your disease area better than any tool does. If an assumption is wrong, change it. The model reruns and the recommendation updates.
Worked example
A drug going through payers looks nothing like a diagnostic sold to labs, or a research instrument bought on a grant. Pick a product type below and see how the model shifts.
| Cell | Basis | Price | Cell value |
|---|
Dimensions considered and rejected
We only segment on things that actually change what a buyer pays or whether they buy at all. Race and ethnicity matters for equity research but doesn't move a diagnostic pricing model. Practice size collapses into site of care. Each report shows what got excluded and the reason.
How a report is built
Product type, who actually signs the purchase order, whether it goes through FDA at all. Get this wrong and everything else is wrong too, so it runs first.
Prevalence registries, facility counts, grant awards, patents, published literature. What's worth pulling depends on the buyer. Every number keeps a reference to where it came from.
Pick the dimensions that actually change price or adoption and build a cell for each one. The math runs in code, not in a paragraph where it can't be checked.
If the numbers don't add up, the verifier says so. You can change any assumption you know better than we do, and the rest of the model adjusts.
Pricing
Every tier gives you the same thing: labeled sources, explicit assumptions, and a sensitivity ranking. The difference is how many reports you need and how far you want to dig.
Primary sources
Citations attach to the specific numbers they support when they're pulled, so a source can't get separated from its claim. Anything we couldn't source is labeled as assumed and flagged in the sensitivity ranking.
Built for tech transfer offices, research PIs, and founders working on commercialization plans. We're in limited release right now. If you want to run a report and stress-test it, reach out.