It may not be novel, but then why do you we still have commercial APIs (Microsoft, Google, IBM Watson, etc.) where there is pretty much no way to "fine tune" th

It may not be novel, but then why do you we still have commercial APIs (Microsoft, Google, IBM Watson, etc.) where there is pretty much no way to "fine tune" them to your domain with a small set of supervised examples? We all know domain adaptation is a real problem. Instead you either have to roll-your-own models in-house (which defeats the whole point of using a ready made cloud solution) or deal with whatever accuracy you happen to get from those APIs. IMHO this is an area where you can make some serious competitive headway in commoditised AI/ML. Do all the heavy lifting of pretraining and give your customers an API to "fine-tune" with. Who is currently doing this?