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SOVEREIGNTY

Keep the agent. Keep the record. Keep control.

Run on our infrastructure, yours, or both. The deployment can change while the agent’s identity, authority, data boundaries, and operational history remain coherent and owned by you.

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Engineers operating private AI infrastructure in a secure research compute room
YOUR IDENTITYYOUR POLICYYOUR RECORD

Collaborate without surrendering the agent.

Cloud convenience should not require giving up control. Visca keeps the same working model across managed cloud, private cloud, on-premises, edge, and isolated environments, with policy and responsibility visible at every boundary.

01

Choose the environment

Place each workload where its data, latency, hardware, and regulatory needs demand.

02

Carry the policy

Keep identity, permissions, approvals, and audit expectations consistent across deployments.

03

Retain the history

Preserve one operational record even when the agent moves between clouds, machines, and sites.

Continuous work.
Explicit responsibility.

Work across approved environments

Respect local data and tool boundaries

Return a consistent attributable record

Choose where each workload runs

Define access and retention policy

Revoke authority without losing history

Turn ownership into practical choices.

Control becomes meaningful when you can say where information lives, who may act on it, and what happens when the working arrangement changes.

Illustrative design scenario

Moving a sensitive project into a private environment

Imagine a research team that starts with a limited, non-sensitive assignment and later needs to work with internal records. Moving the assignment requires a deliberate inventory: documents, retained context, credentials, participants, pending decisions, and external services. Moving the files alone would leave important parts of the working arrangement behind.

The team should decide what may transfer, what needs a new access grant, and what must remain in the original environment. A familiar agent identity does not make old credentials appropriate for a new setting. Test the approved tools and the data boundary before handing over ongoing responsibilities.

The same care applies when leaving an environment. Agree on which records can be exported, their useful format, who can interpret them, and how access is removed after the handoff. These are requirements to settle for a deployment, not a reason to assume that every integration can be moved without adaptation.

A workable ownership plan names the information, the authority, the operator, and the exit path. Its promises should be testable against the particular environment and agreement.

The cases worth designing for.

Local storage does not settle every boundary

Ask which model, email, search, and support services participate in the workflow. An assignment can store its files locally and still send information elsewhere through an approved tool. Map the full path before deciding it fits.

Isolation changes what work is possible

If an environment has no external connection, incoming updates and external actions need an explicit process. Set expectations for current information, available models, maintenance, and human handoffs rather than suggesting that isolation is cost-free.

History and access are separate decisions

Revoking an agent’s current access should not be confused with deleting the record of earlier work. Agree on retention, deletion, review access, and recovery responsibilities for the information you need to keep.

What to look for in an evaluation.

  • Can you identify every service that receives information during the assignment?
  • Can you test the export and handoff before relying on them?
  • Who owns updates, recovery, retention, and access removal?
Plan the operating environment

Your identity. Your authority. Your operational record.

Choose how to deploy