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Enterprise

AI for teams. Control for your organisation.

Make schorn.ai a shared work environment. With SSO, workspace roles and central administration, give people the tools and knowledge they need for their work.

A shared framework for your AI.

  • Identity through your organisation
  • Access matched to each team and task
  • Explicit permissions for data and tools
  • Run on your infrastructure

Features for organisational use.

Single Sign-on

Sign in with existing organisational accounts via SAML 2.0. Map name and group attributes to your identity provider.

In the documentation (DE): Single Sign-on

Workspaces for teams

Assign agents, repositories, transcribers to the right teams. Descriptions and documentation help people find their way.

In the documentation (DE): Workspaces for teams

Roles and groups

Distinguish users, editors and workspace administrators. Map SSO groups to the appropriate role in each workspace.

In the documentation (DE): Roles and groups

Central model management

Manage local and external models centrally. Agents and individual roles use the model configured for their task.

In the documentation (DE): Central model management

Explicit data permissions

Limit agent access to repositories and folders. Require confirmation in chat for write operations.

In the documentation (DE): Explicit data permissions

Controlled connections

Connect tools through MCP. Configure web search and page fetching separately, and restrict fetching to allowed domains when needed.

In the documentation (DE): Controlled connections
SAML 2.0

Your groups. The right access.

Global administrators map identity-provider groups to workspace roles. For example, your editorial team can edit documents while other teams can read them.

Workspace administrators configure their team’s applications. Global administrators manage users, memberships and the instance as a whole.

SSO mappings in schorn.ai · sample data (German UI)

Decide how your data flows.

Choose where to run the platform and which model services to use. Use local models for local processing. Add external models, web search and MCP connections where your use case needs them.

Let’s talk about your use case.

In a demo, we will walk through your workflows, data sources and requirements together.

Real people. Direct contact.

Let's talk about your AI.

From the first question to your first local agent. We're here to help.