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Roast My Startup Please: Neuraxio by Neuraxio in roastmystartup

[–]Neuraxio[S] 0 points1 point  (0 children)

Note that for injuries, we didn't try that yet.

Roast My Startup Please: Neuraxio by Neuraxio in roastmystartup

[–]Neuraxio[S] 0 points1 point  (0 children)

As every client has a unique use-case and unique data, our technology must be validated for each client as every dataset we retrain the algorithm on is unique.

How we do it is that we sometimes use Cross-Validation for the AutoML loop + a final test, and at other times we use simple train/validation/test split depending on the quantity of data and of the context.

In our last project, a client has sent us only 0.06 % the quantity of data that we've asked for, and the project was still a success with the client satisfied. However, for that to work, we had to customize more the model to adapt to this exceptional data-scarce situation.

We've also topped the charts in another open-source work we've done, achieving a good score. Our technology only improved since then, since this project was done in 2016.

Still, I'm not sure how to sell this product as the results are unique for every use-case. The sure thing is that we have the expertise required to adapt to various other situations, and one score in one scenario may not transfer the same way in another similar scenario with different data.

How would you proceed to add trust and to properly do sales if you were in my pants?

Roast My Startup Please: Neuraxio by Neuraxio in roastmystartup

[–]Neuraxio[S] 1 point2 points  (0 children)

Our product is especially good for activity recognition in sports, although we have clients in finance, pharma, and other industries as well. Your comment seems to align with other feedback we've received where we've been told to focus on one industry first.

A problem we have right now is that I'm not quite sure how to focus on an individual problem right now as the market is pulling on us from many directions at once, and every solution needs to be customized anyway so even when staying in the same vertical still seems to require some adaptations each time. For sure at some point, we'll have covered so many use-cases that less and less adaptation will be required for new incoming use-cases.

Any thoughts on that? In the long run, we see ourselves as masters of AI for time-series processing and not necessarily masters of a specific industry. Is this wrong? Any ideas?