Inference layer
GPU sizing, vLLM and llama.cpp, model routing and safe fallbacks.
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Service 02 · Infrastructure
Private AI infrastructure. Own the stack.
We design and deploy local LLM infrastructure with Ollama, vLLM and llama.cpp. Your data stays on your network, under your rules, with no per-token invoice.
01 / What we deploy
The whole private stack.
Inference, retrieval, identity and observability — designed as one system, owned by you.
Private RAG
Ingestion, embeddings, vector store and citations over your documents.
Access and identity
SSO, role-based access and audit logs for every model call.
Observability
Latency, throughput, cost and error tracking you can actually read.
Runbooks
Backup, upgrades and model swaps documented for your team.
Model routing
Send each task to the cheapest model that can do it well.
Reference architecture
Your data never leaves the building.
We design around your network, your identity provider and your risk model — not a vendor's roadmap.
- No data egress
- Open-weight models
- Your keys and credentials
- Audit logs and access control
- Offline operation where required
Deployment options
Your network. Your rules.
The same stack can live on a workstation, a rack in your office, or a private cloud account you control.
Workstation
A single tuned machine for pilots, small teams and sensitive local workflows.
On-prem server
Rack-mounted inference inside your office or data room, on your network.
Private cloud
Your VPC, your keys, your models. Managed by us, owned by you.
Air-gapped
No external calls. Fully offline inference for the highest-sensitivity environments.
“Sovereign AI begins with Sovereign Software.”
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Next step
Let's scope the right build.
Bring us your data, models and constraints. We'll design the private stack and give you a clear number before anything is built.