There are a lot of specific workflows where you can't exactly verify whether something works due to the number of interactions between devices, systems, manufacturing & marketing specs, etc. So if you ask an LLM normally, it might say The ACF 2000 or whatever will do Y with the XYZ 3e, but that's not how either of those things behave together. Hidden in a lot of firm's operating data is the actual answer. So if you could, say, get all that data for a single vertical and join that into a normalized dataset, I imagine that would greatly improved accuracy for both LLMs and any model you might build for that vertical.