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The Architecture

Sovereign Intelligence Architecture

The Sovereign Intelligence Architecture (SIA) is the complete infrastructure for sovereign AI. Built from the ground up for data protection, compliance, and control. Not retrofitted compliance. Not cloud architecture with a sovereignty layer bolted on. Sovereignty by design.

Core Infrastructure

Three Deployment Layers

Sovereign AI is built in layers. Each layer is designed to enforce control at a different level of the architecture.

Layer 1

Inference

Models on Your Hardware

State-of-the-art language models running entirely on your infrastructure. Zero external API calls. Zero training on your prompts. Zero US dependency. Choose from 20+ foundation models optimized for sovereign deployment.

Layer 2

Orchestration

Router, Vault, Recorder

The intelligence layer that coordinates everything. Sensitivity-based routing sends queries to the right model. Native encryption protects data at rest and in transit. Complete audit trail for every interaction. Built-in AI firewall prevents prompt injection and data exfiltration.

Layer 3

Governance

Compliance by Architecture

Regulatory compliance built into the infrastructure, not bolted on after. GDPR, HIPAA, SOX, EU AI Act, HDS, SecNumCloud — all enforced by the architecture itself. Policy engine ensures every AI interaction meets your compliance requirements automatically.

By The Numbers

What You're Building

300+
Production-ready components
7
Architecture layers
20+
Foundation models
100%
Sovereign deployment
Deployment Options

Sovereignty Levels

Three levels of sovereignty. Each meets all seven non-negotiables. The difference is the degree of isolation.

SL1

Hybrid Sovereign

Sovereignty with flexibility

Dedicated data environment on shared infrastructure. Your jurisdiction, your encryption keys, full audit logging. Best balance of cost and control.

  • Dedicated data processing
  • Shared model inference (isolated)
  • Your jurisdiction, your keys
  • 99.9% SLA
SL2

Data Sovereign

Complete data isolation

Dedicated compute and storage. Models deployed in your environment. Zero data leaves your perimeter. Air-gapped option available.

  • Dedicated compute and storage
  • Models in your environment
  • Air-gap option
  • 99.99% SLA
SL3

Full Sovereign

Complete independence

You own and operate everything. On-premises or private cloud. Complete air-gap capability. Your team operates with our support.

  • On-premises deployment
  • Complete documentation access
  • Full air-gap capability
  • Custom SLA
Core Principles

Seven Non-Negotiables

Every deployment level meets all seven. This is not compliance theater. This is how the architecture works.

01

Data Sovereignty

Your data stays in your jurisdiction. Period. Not routed through US infrastructure. Not subject to CLOUD Act. Not processed on shared servers.

02

Model Transparency

You know exactly which models are running, where they came from, what they've been trained on, and what they can access. No black boxes.

03

Zero Lock-in

Complete access to everything. Model weights, training data, inference code, orchestration logic. You can fork, modify, or migrate at any time.

04

Full Auditability

Every prompt, every output, every model invocation is logged. Complete trace from query to response. Compliance is demonstrable.

05

Intelligent Routing

Not all queries need the same model. Sensitivity-based routing optimizes for cost and performance without sacrificing control.

06

Native Governance

Policies are enforced by the architecture, not by process. GDPR, HIPAA, SOX, EU AI Act — built in, not bolted on.

07

Model Portability

Swap models without rebuilding the system. The orchestration layer is model-agnostic. Your infrastructure, your choice.

Technical Details

The Complete Stack

Seven architectural layers. Eight component categories. Everything you need for sovereign AI deployment.

01

Foundation Models

24 components

LLMs, embeddings, and specialized models optimized for on-premises deployment

02

Orchestration

38 components

Workflow engines, prompt management, and multi-model coordination

03

Data Layer

42 components

Vector stores, knowledge graphs, and data pipeline infrastructure

04

Security

36 components

Encryption, access control, audit logging, and threat detection

05

Compliance

28 components

Regulatory controls, data governance, and policy enforcement

06

Integration

44 components

APIs, connectors, and enterprise system integrations

07

Operations

36 components

Monitoring, scaling, deployment, and lifecycle management

08

Full Stack

300+ total

License the complete SIA or select components for your specific needs

Ready to Build?

Let's discuss which deployment level and components fit your use case.