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CloudRunr

CONTROL · Private & Sovereign AI

AI doesn't always belong in the public cloud.

For sensitive workloads, CloudRunr builds AI systems that can operate inside controlled customer environments.

Where this is required

  • Sensitive enterprise information
  • Government
  • Defence
  • Healthcare
  • Financial services
  • Proprietary IP
  • Offline or restricted environments

We do not claim “military grade”, “100% secure”, or certifications we have not verified on this site. The architecture is the claim: models and data can stay inside your perimeter.

Deployment architecture

  1. User

    Authenticated staff

  2. Application

    The interface your team uses

  3. AI orchestration

    Routing, tools, controls

  4. Private models

    LLM / vision on your terms

  5. Customer data

    Does not leave by default

  6. Customer infrastructure

    Your cloud, VPC or on-prem

Deployment options

Private cloud
Customer VPC
On-premises
Local GPU infrastructure
Restricted connectivity
Air-gapped environments where technically appropriate

Private AI Voice

Voice interfaces for organisations that need control over their data. Dictation, structured notes, field operations, enterprise productivity, healthcare, legal and other sensitive environments — designed as a private application, not a consumer gadget.

If the data cannot leave, the architecture has to start there.

Tell us the constraint — VPC, on-prem, limited connectivity or air-gap. We'll say whether a private deployment is the right shape.