Why do you assume it's bootstrapped? We have followed a similar path at Aidlab (although we raised a modest $2M instead of $41M), but we had a clunky prototype and a strong pitch deck with a solid team. Sometimes that's enough!
> Like how do you get the data to build the product that makes the product worth buying in the first place?
Our path:
1. Raise the money.
2. Build a better prototype (let's call it a 'data collector').
3. Create datasets from the new prototype through studies/clinical trials.
4. Apply ML.
5. Develop the next iteration with the newly built models.
6. Profit time.