AI that never leaves your network.
For organisations that cannot send data to a cloud AI service: models, data and processing running entirely inside your own boundary, including fully air-gapped.
Service overview
Sovereign AI means the whole path stays inside a boundary you control: the data at rest, the inference, the orchestration and the audit store. No third-party AI endpoint sees your records, and in air-gapped deployments there is no egress at all.
It matters where regulation, classification or contract makes cloud AI services simply unavailable: government, defence, healthcare, banking and critical infrastructure. It also matters when the commercial risk of a data incident outweighs the convenience.
The trade is real and we are direct about it: self-hosted open weights lag frontier models on the hardest reasoning tasks, and you carry hardware. For most production workflows, such as extraction, classification, routing, summarisation and retrieval, that gap does not decide the outcome. Where it does, we tell you before you buy GPUs.
What we build
Government and public sector
Classified or citizen data that cannot leave national infrastructure, with evidence for the reviewing body.
Defence and critical infrastructure
Fully air-gapped deployments, with weights and updates arriving through your controlled-media process.
Healthcare
Patient records processed inside your own estate, with retention and access to your policy.
Banking and finance
Client data kept in-tenancy, with a full audit trail per automated decision.
Legal and IP-sensitive work
Contract and disclosure review where the material cannot be sent to a third party.
Data residency requirements
Region-pinned processing where the law dictates where computation happens.
On-premise inference clusters
Self-hosted open weights on your own hardware, sized against real concurrency.
Private RAG over internal documents
Retrieval across your estate where nothing may be embedded outside the boundary.
PII minimisation and redaction
Tokenisation before inference wherever the task does not need the raw field.
Security review evidence
Topology, access model and audit format documented as a pack for your reviewers.
Offline model updates
A repeatable process for moving new weights inside without opening egress.
Sovereign incident response
Runbooks and on-call that work when the system cannot phone home.
Why Momentem for this
About the company →Not a policy promise. In these topologies there is no third-party endpoint to send data to in the first place.
No training on your data, structurally
Enforced by the deployment topology rather than a clause in a contract.
Honest sizing
Hardware, quantisation and throughput modelled against your real volumes, with the performance gap stated up front.
Evidence your reviewers accept
Topology, access model, audit format and retention documented as a pack, not assembled after the fact.
Fully reversible operations
Every action logged with actor, cost and outcome, and undoable in one step by your own team.
Residency you control
Region-pinned or wholly on-premise, so computation happens where the law says it must.
Updatable without egress
Model and dependency updates arrive through your existing controlled-media process.
On-site where required
For classified or air-gapped work our engineers work inside your facility for the duration.
How this compares
Based on publicly available information and our own experience of comparable engagements. Generalisations rather than claims about any specific provider. There are good exceptions in every column, and the point is where each model is structurally strong.
The stack we work in.
How the build runs.
Scope
Sessions with the people doing the work. We leave with a written target and a data map.
Prove
A thin slice against your real records, scored on a test set drawn from your own history.
Deploy
Integrations, approval gates, audit logging. Live on one team with a rollback switch.
Hand over
Runbooks, paired on-call and a decision log, until your team changes it without us.
Questions
All questionsExplore other solutions
Custom AI platforms
Agent systems and intelligent workflows built around your exceptions
View serviceForward deployment
Senior engineers embedded inside your team until it ships
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Operator consoles, portals and the infrastructure underneath
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Reversible write-back into the systems you already run
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Where AI fits, what it is worth, and what to build first
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