Are you not concerned that model creation companies will bake this into their next model? I am trying to understand business model.
Another question is how you would claim credit. People believe the quality of the end result depends only on the model, with serving only responsible for speed.
> Are you not concerned that model creation companies will bake this into their next model?
Usually, the business strategy when that's a concern is to court an acquisition.
Assuming that you're doing actual innovation and that the effort behind making it commercially mature is non-trivial, your company and its established assets/staff/insights/deals become valuable as a way to leapfrog in.
We had this question come up frequently during our fundraise.
Our customers' risk profile is such that having the model provider also be the source of truth for model performance is objectionable. There's value to having an independent third party that ensures their AI is doing what they intend it to, especially if that software is on-prem.
On the credit point, that's not necessarily what we're after in these deployments. This is a happy alignment of relatively esoteric research that personally excited me and a real business problem around the non-deterministic nature of GenAI. Our customers typically come to us with a need to solve that for one reason or another.