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.

FOR IT

One place to govern

See machines, endpoints, services, roles and decisions across the organization.

FOR ENGINEERING

Open, compatible building blocks

Use the model runtimes and MCP servers that fit your actual systems.

FOR EMPLOYEES

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.

Capability Public AI chat DIY self-hosting
Prompt and output location Provider cloud Provider cloud Your infrastructure
Private MCP governance Limited Build it yourself Built in
Central employee access Built in Build it yourself Built in
Model and hardware choice Limited Full Full
Schema-change approval Varies Build it yourself Explicit
Admin audit metadata Provider-defined Build it yourself Organization-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.

01 One machine
02 One organization
03 Multiple employees
04 Multiple MCP servers
05 Enterprise identity