Control over protected data, kept in your hands.
The teams with the most valuable data are often least able to use AI on it, because that data is bound by confidentiality, privilege, privacy, and rules. Vrangr exists to close that gap without removing the controls.
Use AI on protected data without losing control of it.
Vrangr is one system that controls how AI touches sensitive data. It checks who is asking, what they can see, where a request can go, what must be redacted, and what needs to be recorded.
The question is not whether these teams should use AI. It is whether they can do so with the boundary between their data and the model under their own control. That boundary is the product.
How we build.
- i
Control over convenience
Where the two conflict, the boundary holds.
- ii
State limits plainly
We do not present Vrangr as removing all risk, and we do not overstate what it does.
- iii
Evidence over assertion
A clear record is a first-class feature, not an add-on.
- iv
Earn sensitive work
We work with design partners on real data before claiming we are ready for it.
We work with a small set of partners.
Vrangr is seeking design partners with protected data and a real workflow who are willing to evaluate the controls against their own environment. Engagements are scoped, controlled, and reviewed together.