A supporting engineering capability

Keep sensitive workflows close
to your own infrastructure.

Put private AI on a foundation your team can understand and operate. SDS designs model-serving infrastructure, integrations and controlled automation with explicit data access, service health and recovery requirements.

Discuss private AI infrastructure

Start with the workload

A useful system needs
more than a running model.

Define where inference runs, what it can access and how the service behaves when an integration or infrastructure component fails.

Private platform architecture

Design across Linux, virtualization, Proxmox, Kubernetes, GPU resources, storage and networking around the intended workload.

Model serving and integration

Connect private inference and APIs to approved applications and workflows. Make identity, privileges and tool access explicit.

Repeatable operation

Use Ansible, APIs and approved scripts for controlled deployment. Add telemetry, health checks and recovery procedures that operators can follow.

Engineering with a purpose

Connect the platform
to a practical workflow.

Private AI can support evidence correlation, investigation and reporting in human-directed security operations. Start with a defined use case and acceptance criteria.

How do you establish whether the platform fits?

A scoped pilot tests the proposed design against technical and operating requirements before it becomes a dependency. Capacity, access, integration behavior, service health and recovery are part of that evaluation.

Who controls consequential actions?

Authorized operators retain change authority. Agent-assisted workflows use scoped tools, privileges, approval gates, audit trails and explicit stop conditions.

Scoped deliverables

Platform design: Compute, GPU, storage, network and model-serving architecture.
Controlled deployment: Configuration, integration and repeatable deployment guidance.
Validation evidence: Results against agreed workload, service-health and recovery criteria.
Operator handoff: Access boundaries, health checks, runbooks and recovery procedures.

A good place to start

Bring us the difficult one.

The uncertain exposure. The noisy investigation. The change your team needs to get right.

Discuss your environment