Thank you, I will try this. I suspect we can extract some universal theory of nits and have a base filter to start with, and have it learn per-company preferences on top of that.
You should be able to do that already by taking all of your customers nit embeddings and averaging them to produce a point in space that represents the universal nit. Embeddings are really cool and the fact that they still work when averaging is one of their cool properties.