We came to this from the other side of the table. Our founder spent years certifying other people’s regulated environments, which mostly means being the person who asks how you know something is true, and being unimpressed by the answer.
That is the origin of this product. Enterprise AI arrived with enormous capability and almost no way to show your work. The teams under the most obligation to be careful were the ones being asked to send their most sensitive data to someone else’s infrastructure and trust a policy document. That trade should never have been the only option.
So Sovrinity was built the way an assessor would want it built: the data stays where it is already governed, a person stays accountable for what happens, and everything the system does is on the record. Not as features added late, but as the shape of the thing.