R&D and trade secrets
Formulas, technical specifications, test data, manufacturing processes, SOPs, and supplier documents: reviewed locally, never uploaded.
For high-sensitivity workflows
Sovereign is a dedicated AI machine for sensitive work. It runs locally, can operate offline, and only sees data your team explicitly provides.
The problem
Your team may want AI assistance for confidential analysis, R&D files, client documents, legal material, and sensitive multilingual work. But the most valuable documents are often the ones that cannot be casually uploaded to public AI tools or third-party systems. For these workflows, the question is not which model is best. The question is whether the information stays inside a boundary your team can actually control.
Approved documents stay inside the machine boundary. Work is processed locally without requiring an external model provider for the core workflow.
Access is limited to authorised users and whatever policy scope you configure for the deployment: whether that is by session, user, project, or secure room.
The system can be configured with encrypted local storage, controlled access, and scoped or resettable memory so the device does not simply become a readable archive if control is lost.
Yes. Approved local document workflows can run offline, and connected or hybrid behaviour can remain optional rather than required.
A dedicated AI machine inside your control
Smart Fellow Sovereign is an offline AI workstation deployed for a specific team, project, or confidential workflow. It does not need internet access to process approved documents. It does not automatically connect to company systems. It only works with what your team explicitly gives it.
What it can do
Offline mode turns approved local material into useful work product. Without sending documents outside the controlled environment.
Designed for when things go wrong
Confidential systems should not only work when everything goes perfectly. They should be designed for accidents, misuse, and loss of control.
Smart Fellow Sovereign can be configured so that confidential data is encrypted locally, access requires authorised credentials, and memory can be scoped or wiped according to policy. If the device is lost or stolen, the goal is simple: the machine should not expose usable company information to an unauthorised person.
Documents and memory are stored in encrypted form on the machine.
Only authorised users can access the system and approved documents.
Memory is kept separate by user, project, client matter, or workflow.
Session, project, user, or full machine memory can be reset when needed.
Use cases
Formulas, technical specifications, test data, manufacturing processes, SOPs, and supplier documents: reviewed locally, never uploaded.
Consulting reports, legal documents, accounting files, agency strategy, and client interviews. Inside a controlled boundary.
Contracts, VDR documents, investment files, corporate records, and risk summaries processed without sending documents to external providers.
Interview notes, timelines, evidence summaries, and sensitive internal findings. In a tighter operating perimeter.
Strategy documents, restructuring plans, financial reports, and acquisition analysis. Prepared and reviewed locally.
Korean, English, and French documents requiring translation, explanation, and business context. Without cloud routing.
Getting started
Decide what work the machine is allowed to support: the materials, the users, and the retention rule. The boundary is set before anything goes live.
Local models, approved document paths, user access, and memory policy. All configured before live matter work begins. We handle everything.
Use it for real work. Memory is cleared, retained, or separated according to the workflow. Review and adjust as the engagement matures.
Next step
Tell us what your team wants to do with AI, what information needs to stay protected, and whether the workflow should be local, offline, or hybrid. The free AI readiness review maps the boundary first. We deliver a written plan within 48 hours of the workshop.