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How it fits together

Three products, one set of foundations

Soika Stack is the inference foundation: it runs models on your GPUs and can serve them to anything above it, including Soika AI and Mockingjay. Those two are separate platforms with separate purposes and no dependency on each other. What they share is how they deploy — the same sovereign options, the same infrastructure and the same governance bar.

SOIKA AIAGENTSServiceFinanceOpsRiskSTANDALONE PLATFORMMOCKINGJAYAGENT FLEETSTANDALONE PLATFORMOPTIONALOPTIONALSOIKA STACKSHARED FOUNDATIONINFERENCEGPU ESTATE
AI infrastructure

The hardware underneath, specified properly

Software performance is decided long before the first token. Soika builds and ships its own AI workstations, laptops and cluster designs — every system arriving with the Enterprise licence, Soika Stack and Mockingjay already installed.

AI workstations

Desk-side development and fine-tuning systems for data science teams, pre-configured with the Soika toolchain.

GPU servers

Dense inference and training nodes sized to your workload, from single-socket L40S boxes to 8-way H200 systems.

HGX clusters

Reference architectures for multi-node HGX and GB200 deployments with validated fabric and power design.

Storage & networking

High-throughput parallel storage and InfiniBand/RoCE fabrics engineered for sustained inference and retrieval.

Sovereign AI

Deployment models for organisations that cannot compromise

Choose the boundary that matches your regulator, not the one that matches a vendor's business model.

Sovereign cloud

Deployed into a national or regional cloud with in-country data residency, local operators and local support.

  • In-country residency
  • Local operations
  • Regulator-aligned

Private cloud & on-premise

Runs in your own data centre or VPC on hardware you own, integrated with your identity and network controls.

  • Your hardware
  • Your identity provider
  • Your network policy

Air-gapped

Installed from signed offline media with no outbound connectivity, for classified and critical environments.

  • No egress
  • Offline updates
  • Signed artefacts
Governance & trust

The same controls in every product

Identity, policy, evidence and residency are not re-invented per product. Whichever combination you deploy, the governance model your auditors review is the same one.

Identity & access

SSO, SCIM and role-based access down to individual models, agents, tools and datasets.

Audit & evidence

Immutable logs of every model call, retrieval, tool invocation and agent decision — exportable for regulators.

Evaluation & drift

Golden datasets, regression gates and continuous quality monitoring before and after every release.

Policy enforcement

Declarative guardrails on data access, spend, autonomy and approvals — enforced ahead of the action.

Data protection

PII detection, redaction, retention policies and residency pinning applied consistently in every product.

Isolation

Hard multi-tenant boundaries so departments, agencies or customers never share context or capacity.

Adoption path

Pilot in weeks. Scale on evidence.

We do not start with a platform rollout. We start with one process that matters, then earn the right to expand.

01 //

Discovery

A structured workshop maps candidate workflows, data sensitivity, existing systems and the governance bar you must clear.

02 //

Architecture

We size the GPU estate, define the deployment topology and design the agent and fleet model against real processes.

03 //

Pilot

One department, one measurable outcome, in your environment — with evaluation baselines agreed up front.

04 //

Scale

Replicate proven fleets across regions and business units, with local policy overrides and central observability.

Get started

See it against your own architecture

Bring your current estate, your constraints and one process you would like to automate. We will show you what the deployment actually looks like.