Packaged offer · 10–14 weeks
Sovereign AI Foundation
Your data cannot go to a public model, and the programme has stopped there.
Deliverables
What you have at the end.
- Private AI platform
- Open-weight model strategy
- GPU infrastructure
- In-perimeter RAG
- Security
- Governance
- Model operations
The capability behind it
Sovereign AI
Weights, index and control plane inside your perimeter.
Sovereign reference architecture
Weights, vector index, orchestration and control plane inside your perimeter, with dependencies made explicit.
Open-weight model strategy
Models you can hold, inspect, tune and continue to run irrespective of a vendor's commercial decisions.
Air-gapped deployment
Full operation without external connectivity, including model and index update paths.
Portable stack
Kubernetes, open formats and standard protocols so the deployment is not re-implemented per environment.
Choose your starting point
Where Are You Today?
Enterprise AI conversations stall when the entry point is wrong. Pick the sentence that matches your situation.
We have an idea.
→ AI STRATEGY
We have a POC.
→ AI PRODUCTIONIZATION
We have an AI application.
→ LLMOPS / AGENTOPS
We need autonomous workflows.
→ AGENTIC AI
Our AI is too expensive.
→ AI FINOPS
Our AI can't reach enterprise knowledge.
→ RAG & KNOWLEDGE
We can't send data to public AI.
→ SOVEREIGN AI
We need to run AI securely.
→ AI SECURITY
Explore Sovereign AI
Data sovereignty. Enterprise RAG. AI agents. Fine-tuning. AI economics. Security. Legacy systems. Autonomous operations. Start with the problem — we'll help you engineer the intelligence.
30 MINUTES WITH AN ARCHITECT · BRING YOUR HARDEST CONSTRAINT