Deployment
Choose the boundary your compliance team can sign off on.
The same platform runs three ways. Each model is a different trade between operational simplicity and isolation. Here is what each one needs from your team.
Three enterprise AI deployment models
An on-premise AI assistant runs on hardware your organization operates. A private-cloud deployment runs in a dedicated environment inside your cloud account. An air-gapped deployment uses local models with no outbound connection. EntAgent supports all three, so the boundary follows your data-residency, security, and operating requirements.
Which deployment fits your team?
Compare the operating boundary and published plan. On smaller screens, scroll the table to read every column.
| Deployment | Operating boundary | Team fit | Published plan |
|---|---|---|---|
| On-premise | Runs entirely inside your own data center. | Organizations that require data to stay on hardware they own and operate. | Enterprise: $2,499/month |
| Private cloud | A dedicated environment inside your cloud account. | Teams that want isolation and control without running physical hardware. | Business: From $999/month |
| Air-gapped | Fully isolated, with local models only. | Classified, regulated, or otherwise offline environments. | Custom scope |
On-premise
Runs entirely inside your own data center.
Best for
Organizations that require data to stay on hardware they own and operate.
What your team provisions
- GPU or CPU compute sized to your model mix
- Network access controls you define
- Your own identity provider for SSO and RBAC
Private cloud
A dedicated environment inside your cloud account.
Best for
Teams that want isolation and control without running physical hardware.
What your team provisions
- A dedicated VPC or subscription in your account
- Your cloud KMS for key management
- Private networking to your data sources
Air-gapped
Fully isolated, with local models only.
Best for
Classified, regulated, or otherwise offline environments.
What your team provisions
- Local open models, no outbound API calls
- Offline update and model-loading process
- Hardened, audited host configuration
How does an air-gapped AI assistant run?
An air-gapped EntAgent deployment uses local models in a fully isolated environment, with no outbound API calls. Your team provisions the local models, an offline update and model-loading process, and a hardened, audited host configuration. EntAgent scopes air-gapped deployments under the Custom tier to match your environment and compliance requirements.
For an evaluation, start with where data must stay, which local models you need and how your team will manage offline updates. Bring those requirements to the deployment discussion.
Air-gapped deployments are scoped under CustomReview data protection and access controls
Not sure which fits?
Most teams start from a single question: where is your data allowed to live? On-premise and air-gapped keep everything on hardware you control, with local models doing the work. Private cloud is the middle path, isolation without running the metal yourself. We will help you map your data residency and compliance constraints to the right model, and you can move between them as your needs change.
Let us scope your deployment.
Share your target environment and constraints. We will come back with a concrete plan.