Ah, yes. We're even looking to use some generative models in order to even do variations based on data and then compare that we do similarly well between cases.

I guess the point I was making was that we want to make sure we don't then use this generated or modified data in order to test other algorithms in the space and say we're better. Simply put, it would be unfair for us to make changes to perform better on a hurdle and then put other algorithms through those hurdles. But for internal use, it's definitely great!