Sovereign intelligence for organisations where control is mission-critical.
For government, public services, defence and critical infrastructure. Sovereign AI infrastructure and intelligence, with data, models and agents under your control and evidence for every action.
- Data, models and agents under your control
- Human oversight by policy
- Evidence for every action
Case and application processing
Files prepared, decisions kept human.
Problem: caseworkers spend time assembling documents and checking completeness. Agent: reads the case file and drafts a summary and checklist. Control: decisions affecting a person always require a human decision-maker; the agent can only reach the data its role allows. Outcome: caseworkers review prepared files, with a record of how each was built.
- Human decision-maker required
- Role-scoped data access
- Record of how each file was built
Staff knowledge assistant
Policies and guidance, answered with sources.
Problem: staff search large collections of policy, guidance and precedent. Agent: answers through Cortex from approved collections. Control: answers respect classification and access rights, and sources are cited. Outcome: faster, consistent answers that can be audited.
- Classification and access enforced
- Sources cited
- Queries auditable
Document analysis and drafting
Drafts with traceable sources.
Problem: briefings and responses require reading and summarising long documents. Agent: drafts from approved material. Control: only approved models are used, deployed on infrastructure you control, and a named reviewer approves outward-facing material. Outcome: reviewers verify rather than start from nothing.
- Approved models only
- Infrastructure you control
- Named reviewer for outward material
Critical infrastructure operations
Prepare and recommend, never act alone.
Problem: operators of essential services must coordinate across systems under pressure. Agent: assembles context and drafts recommendations. Control: no authority to execute consequential actions without approval, with every step recorded. Outcome: faster situational awareness and evidence for after-action review.
- Approval for consequential actions
- Escalation by policy
- Evidence for after-action review
Data and sovereignty considerations
Compliance-by-design: Swfte provides the technical controls, governance mechanisms and evidence needed to deploy AI within your applicable regulatory, security and policy requirements. The exact posture depends on your use case, jurisdiction, deployment and configuration. See the trust page for what is true today.
Data sovereignty
Designed so you decide where data is held, processed and for how long, under your own jurisdiction and rules.
Sovereign infrastructure
Designed for private, dedicated or hybrid deployment on infrastructure you control. Scoped with you.
Model and supply-chain control
Choose which models run and see the vendors and dependencies behind them.
Governance and evidence
Policy, oversight and audit across data, model, agent, decision and action.
Frequently asked questions
The platform is designed to let you run private, dedicated or hybrid deployments on infrastructure you control. Availability and scope are agreed per engagement; talk to our team.
No. Swfte does not claim accreditations it does not hold; see the trust page. Swfte provides technical controls, governance mechanisms and evidence to help you deploy AI within your own requirements, and the exact posture depends on your use case, jurisdiction, deployment and configuration.
Policy can require a human decision-maker for any action that affects a person, and the approval is recorded.
One platform, built for control
Sovereignty
Control over where and how AI runs, and over the data, models and agents inside it.
Governance
Runtime policy, human approval and an audit trail across every layer.
Governed agents
Agents that act within limits you set, and leave evidence of what they did.
Swfte Connect
The model gateway and routing layer, designed to run in your own cloud, VPC or data centre.
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