Sensitive data01
Restricted content processing
Run content workflows where confidential source material cannot enter shared infrastructure.
Connected workflow · Human reviewPrivate AI deployment
Run content AI where your sensitive data needs to stay.
Deploy models and agentic content workflows in private, isolated, or customer-controlled infrastructure with human review built into the process.
For enterprise AI, security, IT, legal, compliance, and content platform teams.
75+ languagesHuman approvalOne shared memory
Live content operation
One context · every deliverable
01Private content
02Model choice
03Security requirements
Shared contextMemory active
1
Connect
Specialist agent
2
Configure
Specialist agent
3
Review
Specialist agent
4
Run
Specialist agent
Context and reviewer decisions travel with the work
Private workflows
Controlled output
Deployment records
Your content, infrastructure requirements, models, and access rules stays attached from input to approved output.
The complete job, connected
One goal. Every step required to ship.
Universe keeps the brief, assets, language context and approvals together while agents move the work from one step to the next.
01
Choose where processing happens
Match deployment to the organization's data location, network, access, and model requirements.
02
Use the same content workflows
Creation, localization, personalization, quality checks, and approvals remain available in the private operating model.
03
Keep people in control
Permissions and approval steps define who can access content, change workflows, and release output.
Everything the workflow needs
A complete workflow—not a list of features.
Start with the job your team needs to finish. Add formats, languages, audiences and destinations without rebuilding the process.
Models02
Customer-selected models
Use approved private, open, or organization-specific models within the content operation.
Connected workflow · Human reviewNetwork03
Isolated deployment
Support environments with strict connectivity and data-movement requirements.
Connected workflow · Human reviewEnterprise04
Private agentic workflows
Connect agents, content, checks, and human approvals while respecting enterprise access rules.
Connected workflow · Human reviewHow the job moves
One job from source to delivery.
Each step receives the content, context and decisions from the step before it. People review the moments that need judgment.
Define the boundary
Document data classes, infrastructure, model, network, access, and review requirements.
Choose the deployment design
Match the Vitra configuration and integrations to the customer's operating environment.
Configure access and workflows
Set roles, content sources, models, agents, quality checks, and mandatory approvals.
Validate and operate
Test the complete workflow in the target environment before teams use it for production content.
Why teams choose this workflow
Fewer handoffs. More work ready to ship.
The workflow becomes easier to repeat because approved language, assets and decisions stay available for the next run.
AI adoption that fits enterprise constraints
Teams can use AI-first content workflows without forcing sensitive content into an unsuitable deployment model.
One operating model for agents and people
Automation, permissions, review, and release remain part of the same content process.
Clearer technical ownership
Infrastructure, model, access, and workflow responsibilities are defined before production use.
Explore the platform
Capabilities behind this solution
Common questions
Private AI content platform: common questions
What is a private LLM deployment?
It is a deployment in which the model and content-processing workflow run within an environment chosen to meet the customer's data, network, access, and infrastructure requirements.
Can private deployment include agentic workflows?
Yes. Content agents, branching, quality checks, and human approval steps can be configured as part of the private content operation.
Does private deployment remove human review?
No. Teams can require human review based on content type, quality result, market, risk, or organizational responsibility.
Start with one real workflow
Bring one real content job. Leave with a workflow your team can run again.
See how your source content, review process and delivery systems can work together inside Vitra Universe.