Bring intelligence directly into industrial operations.
For manufacturing, automotive, aerospace and engineering. Your engineering data and IP stay under your control while governed agents work alongside your teams.
- Engineering data and IP under your control
- Agents inside your operating limits
- Traceable decisions
Quality and defect analysis
Find the pattern, keep the trace.
Problem: quality data sits in inspection records, line data and supplier documents. Agent: correlates approved sources and proposes likely causes. Control: restricted to approved data classifications; corrective actions need approval from a quality owner. Outcome: engineers review reasoned hypotheses with their evidence.
- Approved data classifications only
- Quality owner approves actions
- Evidence recorded with hypotheses
Supplier and order exceptions
Prepare the response, never commit alone.
Problem: late or non-conforming deliveries need fast, consistent handling. Agent: reads approved supplier and order data and drafts recommendations and communications. Control: it cannot approve its own high-value decision or send sensitive external communications without approval. Outcome: planners act on prepared options with a full record.
- No self-approval of high-value decisions
- Approval for external communications
- Decision record kept
Engineering knowledge
Specs and standards, answered with sources.
Problem: engineers lose time searching specifications, standards and past designs. Agent: answers from internal repositories through Cortex. Control: IP-classified material stays inside your environment, with access rights enforced. Outcome: faster answers with citations, without exposing design IP.
- Access rights enforced
- IP stays in your environment
- Sources cited
Maintenance and shop-floor support
Procedures at the point of work.
Problem: technicians need the right procedure and history on the line. Agent: assembles instructions and recent history for the machine at hand. Control: read-only access to production systems, with changes requiring approval. Outcome: less searching and a record of what was advised.
- Read-only production access
- Approval for changes
- Record of advice given
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.
IP and engineering data control
Designed so design data and IP stay where you decide, under your access rules.
Deploy where the work happens
Designed for private, dedicated or hybrid deployment, including near your operations. Scoped with you.
Model and supplier control
Choose which models run, and see the vendors and dependencies behind them.
Traceability
Follow data to model to agent to decision to action.
Frequently asked questions
The platform is designed to let you run on infrastructure you control, so engineering data and IP are processed where you decide. Scope depends on your deployment; talk to our team.
Only if you grant that permission. By default agents get least privilege, and consequential actions can require human approval.
Compliance-by-design: Swfte provides the technical controls, governance mechanisms and evidence needed to deploy AI within your applicable requirements. The exact posture depends on your use case, jurisdiction, deployment and configuration.
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.