On-Premise AI

When "cloud" isn't an option at all

Some workloads — classified environments, air-gapped networks, certain government and defense use cases — can't touch any external network, cloud or not. On-premise deployment runs the entire Lira stack inside your own data center.

Enterprise deployments · dedicated onboarding · custom SLAs

What is on-premise AI deployment?

On-premise deployment means the model, agent orchestration, database and telephony integration all run on servers physically located in your own data center, with no dependency on an external network connection to function. It's a step beyond a private VPC deployment (which still runs in a cloud, just one you control) — on-premise is for environments where no cloud dependency is acceptable at all.

Capabilities

What you get

Fully self-contained stack

Model serving, orchestration, database and telephony gateway all run on your hardware.

No external network dependency

Designed to operate correctly even in air-gapped or restricted-network environments.

Hardware sizing support

Our team helps size GPU and server requirements against your expected call volume.

Your security controls apply

Runs inside whatever security perimeter and monitoring your data center already enforces.

Update process you control

Software updates are packaged and applied on your schedule, not pushed automatically.

Data never leaves the building

Call recordings, transcripts and customer data stay on infrastructure physically within your control.

Use cases

Who this is built for

Government & defense

Deploy in classified or air-gapped environments where no cloud connectivity is permitted.

Critical infrastructure operators

Meet sector-specific regulatory requirements that mandate on-premise data handling.

Highly regulated financial institutions

Satisfy audit requirements that specifically prohibit cloud-hosted customer data.

FAQ

Common questions

How is this different from a private VPC deployment?

A VPC deployment still runs in a cloud provider's data center, just within a network boundary you control. On-premise runs entirely on servers physically inside your own facility, with no cloud provider involved at all.

What hardware do we need?

Depends on model size and expected concurrent call volume — our team sizes this with your infrastructure team during a scoping call rather than a generic spec sheet.

Who handles ongoing maintenance?

Your team, with our support — this is a joint deployment model, not a fully managed service, since a managed service inherently requires some external connectivity.

Ready to deploy on-premise ai?

Talk to our team about your infrastructure, compliance and scale requirements — we'll design the deployment around them.

Book a demo →