But what actual problem is ORM solving beyond that?
That said, I find the concept of abstracting ML ingredients outside of languages a nice one although its not entirely novel(python's been doing this from day 1 :D). The strength for keeping it in 1 language can be profound though. Compilers can optimize across operations. Calling many atomic functions from an API/server from a client loses that unless implemented carefully. That one language benefit is a big part of what Julia has to offer.
I could see a value addition statement being made if the "whole market" solution included a lot of goodies. But every time I think of what that looks like - I think it looks like Julia in 2-5 years....
Related to ORMs, but not quite on topic - query building. Type checked queries, parts of which can be passed around business logic, are very powerful and flexible.
[1] - https://enzyme.mit.edu/
being able to do interprocedural cross language analysis seems awesome considering how much code is written in C++, but used in higher level languages.