One place to govern
See machines, endpoints, services, roles and decisions across the organization.
WHY OBRENNA
Private AI is easy to start.
Operating it is the hard part.
Model hosting alone does not give an organization identity, policy, employee access, safe tool controls or a comprehensible operating model. Obrenna does.
THE MISSING LAYER
Control without making employees carry the complexity.
Your team should not need to understand model servers, MCP transport, credential files or schema manifests to use private AI responsibly.
Open, compatible building blocks
Use the model runtimes and MCP servers that fit your actual systems.
One app that just connects
Sign in, choose an organization and use only what has been approved.
COMPARE THE OPERATING MODELS
Private execution and managed governance.
Prompt and output locationProvider cloudProvider cloudYour infrastructure
Private MCP governanceLimitedBuild it yourself Built in
Central employee accessBuilt inBuild it yourself Built in
Model and hardware choiceLimitedFullFull
Schema-change approvalVariesBuild it yourselfExplicit
Admin audit metadataProvider-definedBuild it yourselfOrganization-defined
Obrenna improves organizational control and privacy; it does not make organization-managed infrastructure automatically secure. Endpoint security, network configuration, patching, backups and trusted executables remain your responsibility.
GROW AT YOUR OWN PACE
Start with one node.
Keep the path to scale.
01One machine
02One organization
03Multiple employees
04Multiple MCP servers
05Enterprise identity
Your models. Your hardware. One governed service.
Register endpoints without exposing runtime credentials to employees or the browser.
Ollama vLLM Compatible API
Production inferenceAVAILABLE
- Runtime
- vLLM 0.9
- Model role
- Primary reasoning
- Context limit
- 128,000 tokens
- Credential
- secret://prod/vllm
- Policy revision
- v42 · approved
Private AI infrastructure
Operate models on hardware and networks your organization controls.
- Ollama, vLLM and compatible runtimes
- Multiple models and role assignments
- Health, capacity and version monitoring
Governed MCP integration
Connect internal systems without turning every employee into an infrastructure engineer.
- Streamable HTTP and local stdio
- Automatic discovery and schema review
- Per-tool confirmation requirements
Organization administration
Manage identity, access and machines from one consistent control plane.
- Owner, admin, member and auditor roles
- Secure invitations and session revocation
- Multiple environments and devices
Employee-ready desktop
Approved organization configuration arrives automatically after sign-in.
- No CLI, Python or JSON setup
- Visible models and permitted tools
- Safe failure and clear offline states
Privacy by architecture
The control plane handles governance while private work remains local.
- No prompt storage by default
- Opaque credential references
- Configurable retention and telemetry
Policy and audit
Make agent permissions understandable, reviewable and enforceable.
- Read, network, write and destructive risk
- Never, first-use or every-use confirmation
- Redacted decision history