Runtime ownership
Check where agent runtimes, releases, storage, credentials, and logs live.
Enterprise AI platform
How should enterprises evaluate a private AI agent platform?
Evaluate a private AI agent platform by verifying who controls runtime placement, tenant identity, policies, credentials, storage, releases, logs, and operational evidence. Bewize approaches that boundary with Bewize Hub as the control plane for managed AI worker runtimes, while model hosting remains a separate deployment decision.
What to compare
Compare concrete operating boundaries rather than labels alone.
Tenant isolation
Look for tenant identity, workspace, secrets, policy, and access boundaries.
Operational evidence
Require run history, usage attribution, schedules, and redacted metrics.
Model boundary
Treat private or self-hosted model hosting as an architecture choice, not an automatic platform feature.
Explore the platform boundary
Bewize Hub
Managed tenant runtimes, lifecycle, policies, secrets, storage, schedules, and A2A edge access.
Learn more →Security and governance
Tenant isolation, access controls, managed secret metadata, and redacted evidence.
Learn more →On-premise deployment
Private cloud or data-center patterns where the enterprise controls placement.
Learn more →Self-hosted AI agent platform FAQ
Does self-hosted mean the company must host its own LLM?
No. Runtime and control-plane placement are separate from model hosting. Bewize positions Bewize Hub around managed agent runtimes and leaves private or self-hosted LLM selection to deployment architecture.
What should enterprise buyers verify first?
Verify runtime ownership, tenant isolation, policy controls, managed credentials, storage, run evidence, and the actual release and access procedures.
Does Bewize claim a compliance certification?
No. Bewize names concrete operating controls and does not make blanket security, privacy, or compliance guarantees.
Evaluate a private agent platform
Discuss runtime placement, tenant boundaries, model architecture, and operational evidence with Bewize.
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.
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