Private host or on-prem
Deploy in the environment the enterprise chooses for sensitive AI operations.
Private Deployment
Run managed AI agents inside your controlled environment
Bewize supports enterprises that need operational ownership of agent runtime, storage, credentials, logs, and network boundaries. It is agent infrastructure for private cloud or data-center deployment; model hosting choices remain a separate architecture decision.
What are on-premise AI agents in Bewize?
In Bewize, on-premise AI agents are managed tenant runtimes operated under enterprise infrastructure control. The source-backed Hermes Hub scan includes Linux/systemd production provisioning, one Unix user per tenant, tenant runtime isolation, managed secrets, shared storage options, and production lifecycle patterns.
Enterprise boundary
Control plane, runtime, secrets, workspace, logs, and adapters stay under enterprise operations ownership.
Private hostTenant runtimeManaged secretsShared storageLogs
Agent infrastructure, not model-server marketing
Bewize governs the agent runtime and control plane; whether an enterprise also uses private or self-hosted LLMs is handled as part of deployment architecture.
Controlled credentials and storage
Keep secrets, workspaces, and shared storage inside governed infrastructure.
Operational outcome
AI agents can be adopted without surrendering deployment control.
Plan a private agent deployment
Architecture conversation
Tell us what your team needs to control
Share your deployment boundary, number of agents, work surfaces, and governance requirements. We will reply by email to arrange a focused technical discussion.
Email the Bewize teamThis opens your email application. Read our Privacy Policy.