Integrity
Identify the exact release
Bind the model artifact and configuration to a reviewed version. A familiar filename or an unchanged label cannot establish integrity.
Vraelis Contour / Private development
Know what you are releasing.
Model updates change how an AI system behaves. Vraelis Contour is our first product direction: model release security for robotics suppliers and system integrators.
The work
A model release is a security decision.
For the release, platform and security engineers responsible for moving an approved model into an operational system.
Authority
Separate proposing from approving
Tie approval to the release, destination and deployment identity. Keep approval independent of the person or workload proposing the change.
Evidence
Keep a reviewable release history
Record what was approved and activated so reviewers can investigate changes. Account for failed updates, expired approvals and recovery.
The engineering foundation
Start at the release boundary.
Our private reference experiment checks signed model releases, scoped approvals and recorded activation history. It exercises a small reference workload, not a deployed perception model or a customer system.
Identity integration, production runtimes and independent runtime verification remain integration work. The experiment does not establish resistance to a compromised host or prove that a model's behavior is safe.
What comes next
Build around the team's actual environment.
Vraelis Contour is in private development. There is no public application, available deployment or published price.
Release teams
The update workflow
Understand how models are packaged, reviewed, promoted and rolled back across the equipment fleet.
Platform teams
The runtime boundary
Identify where a release can be checked and where existing deployment tooling must enforce that decision.
Security teams
The threat and the evidence
Define who could alter a model release, which controls already exist and what evidence would demonstrate a useful improvement.