And data is simple, it's parameters plus timestamps plus a lot of storage.
Realtime access is harder but it's a well-specified problem.
The issue is inference. No one does inference extremely well except in limited circumstances. It's one of our greatest bottlenecks as humans and our software is going to be limited by it as well insofar as our understanding of what to build is controlled by what kind of inference we want.
There are a very limited number of companies that have complete datasets of buildings in all cities throughout the country. The leader is CoStar, they have the most complete and accurate data. What I have noticed with other CRE data companies is they are focusing on leasing activity or 1 other part of the CRE process. CoStar became the leader by valuing their data over all things, if other companies want to compete they need to do the same.