Private AI Infrastructure

Run AI on infrastructure you control.

Deploy private AI inference on dedicated infrastructure, fully managed by JetRails.
Get a clean API endpoint, predictable cost and full control over performance and data.

What JetRails provides

JetRails deploys and manages private AI infrastructure built for your workloads.

Your application connects to a dedicated inference environment through an OpenAI-compatible API, just like any external provider. The difference is where it runs and who controls it.

No shared systems. No usage-based billing. No external dependencies.

Works with your existing stack

Swap your AI endpoint. Keep your architecture.

Data stays inside your infrastructure

All inputs, outputs and processing remain inside your environment.

What happens when AI runs outside your infrastructure?

Where external AI breaks down

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Private AI

Private AI

Talk to JetRails about your AI workload

How Private AI works

Local AI inference runs on infrastructure provisioned specifically for your workloads.

Infrastructure

Performance

Control

Cost

Security and compliance

80% of firms report

data protection benefits from private environments, making them the preferred choice for GDPR and CCPA ecommerce compliance.

(Source: IDC/Ensono)

Compliance is achieved through infrastructure control.

JetRails scope

JetRails manages the full infrastructure lifecycle.

Upgrades and model transitions are planned and validated before deployment.

Private AI deployments support:

Internal

Internal automation across functions: operations, catalog, pricing, etc.

Stable

Stable model behavior across production systems

Continuous

Continuous / unlimited availability without token limits or usage caps

Isolated

Isolated execution environment for private or sensitive workloads

AutoPilot

Launch a production-grade environment in minutes.

Explore JetRails AutoPilot

Cloud Services
Managed Services

JetRails Private AI

Run AI on infrastructure you control.

Learn how Private AI works