Industry Blueprints
Pre-configured for regulated industries
Stack configurations and compliance mappings for sectors where data leaving the building isn't an option.
Deploy AI that physically cannot call home to California.
The Sovereign Institute defines Sovereign Intelligence Architecture (SIA): the protocols, architectures, and compliance
frameworks for frontier models in air-gapped, sovereign, and zero-trust environments.
Every query leaves your infrastructure. Your prompts, your data, your competitive intelligence—routed through servers you don't control, logged in systems you can't audit.
The fine print says they won't train on your data. The architecture says they could. When the Terms of Service change, your only option is to accept or rebuild from zero.
"Enterprise" tiers and "private" endpoints still phone home. Data residency promises evaporate under subpoena. The cloud region is in Frankfurt; the parent company is in California.
Not every organization needs air-gapped infrastructure. Choose the level that matches your regulatory reality.
Public models for non-critical tasks. Private models for IP-sensitive work. Routing layer active—every request classified before it leaves. Good for: Most enterprises starting their sovereignty journey.
Model weights may be external, but RAG and Vector Stores are strictly on-premise. No training data egress. Full audit trail. Your data never becomes their data. Good for: Healthcare, finance, legal with strict data residency requirements.
Hardware, weights, context, and logs are physically isolated. Zero internet connectivity. Military and intelligence grade. Good for: Defense, classified environments, critical infrastructure.
Four components that make sovereignty possible. Everything else in the stack builds on this foundation.
The gatekeeper. Classifies every request by sensitivity before it goes anywhere. Routes to local inference or approved external APIs based on rules you define. Nothing leaves without permission.
Where your knowledge lives. Vector stores, RAG indices, and context—all on your infrastructure. The AI can read your data, but your data never leaves to become training fodder.
Immutable audit trail. Every prompt, every retrieval, every response—logged with full context. When regulators ask what your AI said and why, you have the receipts.
Egress control for AI. Prevents models from "phoning home" via hidden states or encoded outputs. The final gate ensuring nothing leaves that shouldn't.
Principles that define whether a system qualifies as sovereign. Fail one, fail all.
Your data never leaves your infrastructure. Period.
Open weights you can inspect, audit, and run anywhere.
No single point of failure. No lock-in. Exit always possible.
Every inference logged with full context. Compliance evidence by default.
Smart routing between local and cloud based on data sensitivity.
Compliance baked into architecture, not bolted on after.
The model is replaceable. Your architecture is the asset.
From assessment to production. A proven methodology for deploying AI that meets the Standard.
Map your data landscape. Identify sensitive flows. Define sovereignty requirements based on regulatory reality.
Select sovereignty level. Configure the reference architecture. Choose stack components for your use cases.
Implement routing rules, audit logging, and compliance controls. Build the Recorder and configure the Firewall.
Connect to existing systems. Establish secure data pipes. Migrate from cloud APIs without disruption.
Production rollout with monitoring. User training. Establish operational procedures and incident response.
Continuous improvement. Model upgrades. Expanding use cases while maintaining sovereignty guarantees.
Stack configurations and compliance mappings for sectors where data leaving the building isn't an option.
Whether you need the full Standard, a specific blueprint, or help with implementation—the conversation starts the same way.
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