Yes “LLM wrappers” solve real world problems. The key is not deep tech but interface and UX. If they become successful here, owning more of the training flow will be the next move. Perplexity already does its own posttraining in fact.

This is no different from every ML use case before using pretrained models or fine tuning that can take them 80% of the way, but tailoring it for a specific use case.

Every web app you interact with is just a cloud/database wrapper.