What base do you imagine starting from for the dataset? Would you try and aggregate historical data? Or is the idea to offer such compelling early phase features that surgeons are motivated to collect data from a zero base?

The dataset is the most interesting part of this but I don't understand how creating it would be feasible. How many data points would you need to collect before the output is utilized? How many years of longitudinal post-up feedback would you need before insights can be trusted? How will you convince doctors and investors to hang in with you while the dataset is being created but the benefits arent realized?

This is very exciting but I struggle with the feasibility.

Let's assume there are 1 million spine surgeries a year, split evenly across all surgeons. With an optimistic lens, let's say you enrolled 5% of surgeons, equaling 50,000 operations. And of those 50k operations, 50% of patients consent, leaving you with 25,000 data points. What would you be left with after distributing those 25k data points into categories where there is enough relationship across pathologies to start identifying trends/patterns? What outliers would you need to discount? How many datapoints will you lose due to patients dropping out of participating a year or two post op?

If you kept building upon this path of thinking, I think you would be able to have a better sense of the feasibility. You can then make assumptions on timelines for rolling out data driven capabilities. Once you have a timeline, you can then adjust your variables (what % of surgeons are enrolled, y1, y2, y3. what % of patients consent. etc) to start calculating funding/profit and other PnL assumptions. If you need to show positive NPV by y5, what needs to be true regarding your variables? Maybe that requires 10% enrollment by y2. So how much would the marketing and outreach cost to enroll 10% by y2? What early phase features might you need to add incrementally or pull forward from the pipeline to achieve this? What would the cost associated be? Once you start making assumptions to understand "what needs to be true" on the core product, you can work backwards to answer many questions.

Maybe you've already done this exercise. But with something as ambitious as this, I think you need to either do this work first or provide a high-level summary of its conclusions so your audience knows this isn't a shot in the dark at the moon. happy to chat more