Wellesley Cove Group
AI can’t help if it can’t be trusted. For teams handling sensitive data—finance, healthcare, government, IP‑heavy sectors—the safest deployment is one that never lets information leave the building. That’s why Wellesley Cove Group built a fully air‑gapped AI architecture: all processing happens on hardware you control, with zero outbound connections.
What “Air‑Gapped” Really Means
No external network paths – the AI stack lives on a server or laptop disconnected from the public internet
Self‑contained model & vector store – weights, embeddings, and indexes sit on local storage only
Local orchestration – all agent logic, RAG pipelines, and APIs run in the same secure enclave
How Our Architecture Works
Bare‑metal or VM install – minimal Linux/Windows/MacOS image with hardened settings
Local model hub – Llama‑3, Gemma, or Mistral checkpoints loaded from disk
Embedded vector DB – SQLite or DuckDB + FAISS/PGVector for retrieval
Isolated inference service – Rust or Go binary exposes a REST endpoint on a loopback address
Optional updates – new models and patches sideloaded via signed packages
No calls to OpenAI, Azure, or any SaaS—ever.
Key Benefits
Absolute data sovereignty – nothing leaves your facility; ideal for compliance-heavy environments
Predictable cost – No per-token or monthly subscription costs
Ultra‑low latency – sub‑50 ms responses; perfect for real‑time assistants
Audit‑ready – full logging stays on box, simplifying SOC‑2 and FedRAMP controls
Resilient – continues working in disconnected or degraded‑network scenarios
Real‑World Scenarios
Government analysts reviewing classified policy drafts and conducting red-team exercises on secure, air-gapped machines
Incident‑response teams drafting reports inside a secure SOC
Clinical researchers summarizing trial data on an isolated lab network
Field technicians querying manuals from a ruggedized laptop in remote areas
Getting Started
We offer a 30‑day pilot - contact us at request@wellesleycove.com to schedule a demo.