Blackstone Credit & Insurance runs on 1,000s of tables, each with 100s of fields and 1,000,000,000s of rows. Until recently, knowing which tables to join, and how to join them without double-counting, was tribal knowledge. Rob Wisniewski, CTO of Credit & Insurance Technology at Blackstone, deployed TextQL's Ana on top of that data environment. → thousands of tables, billions of rows, joined accurately without analyst hand-holding → foreign key matching and entity de-duping handled natively → "time to theory and where to look" compressed from days to minutes → every answer comes with the work shown (non-negotiable in credit and insurance) "I asked Ana for a playbook on how to solve a problem... it created a scheduled playbook, configured it, and to this day every Monday I get the results in my email. That's the kind of thing you don't see in significantly more mature products." Most enterprises think faster analytics = faster queries. The bottleneck isn't query execution; it's time to theory: the gap between "I have a question" and "I know which tables to look at and how to join them without breaking the math." Ana closes that gap while showing its work for every answer. At Blackstone scale, that's not just a productivity gain; it's the difference between acting on a thesis this week and acting on it next quarter.