We build the frameworks that let you train your own sovereign models, self-trained or co-trained, so the model and the intelligence in it stay yours.
Your records never leave your enclosure. The model is trained where they already sit, either inside your own institution or jointly with others who cannot pool their data either. What crosses the boundary is the learning, never the data.
What you are left holding is the model, the weights and the intelligence they encode. Yours to run, to license and to keep, rather than rented back to you a query at a time.
The hard problem is the same everywhere: the data worth training on is the data that is not allowed to move. So we train the model where the data already sits, self-trained inside one institution or co-trained across several, and you keep the weights, the model IP and the intelligence it earns. Mbrane solves that once; everything else is what it makes possible.