Every synthetic data tool I evaluated had the same architecture: take real data as input, learn the distributions, generate new records that look similar.

That works fine -- until you don't have real data to feed it.

I was building synthetic UHNWI (ultra-high-net-worth individual) profiles for compliance testing. The problem: nobody gives you...