Use cases

For teams that cannot treat data casually.

The teams with the most valuable data are often the least able to use AI on it. Vrangr maps to the specific reasons their records stay out of modern AI work.

Legal documents

Use AI without breaking privilege.

Controlled review across matter files, diligence rooms, and privileged documents, with access checks, boundaries, and a record kept at every step.

Security reports

Analyze sensitive signal safely.

Logs, incident reports, and threat notes read through controlled retrieval and redaction, with an audit trail behind each answer.

Regulated enterprise data

Controlled AI over confidential records.

AI across confidential business, compliance, and internal records with permission checks, approved routes, and clear records.

Sensitive operations

Boundary-aware AI work.

Route sensitive workflows through approved environments, with traceable handling that a reviewer can stand behind.

Lean teams

Replace heavy tooling.

A small team can get controlled AI over protected data without standing up and staffing a heavy intelligence platform.

Governance and compliance

Make AI use defensible.

Give governance, privacy, and compliance owners a control layer with rules and records they can point to.

The common pattern

Same boundary, different data.

Across every team the shape is the same: data too sensitive to share freely, a workflow that would benefit from AI, and an owner who needs the boundary made explicit. Vrangr is that boundary.