Most AI systems ask you to trust the cloud. We don't.
In fully sovereign deployments, NEXUSA can run entirely within operator-controlled infrastructure, without requiring external APIs, shared tenancy, or cloud processing. Governance, evidence, and operational control remain with the operator.
From first call to full control
Deploy MRAION NEXUSA through structured phases, from initial assessment to ongoing operation. Each step has clear deliverables you control.
Needs assessment
We map your research workflows and data landscape to define the deployment scope.
Infrastructure preparation
We prepare your on-premise infrastructure to meet NEXUSA's specifications for secure local operation.
Secure installation
NEXUSA is installed on your own hardware, with no data leaving your controlled environment.
Governance configuration
We set role-based access and authority rules so every research action meets your standards.
Core model activation
Fast, deep, and verification models come online, tuned to coordinate across your datasets.
Evidence pipeline connection
Discovery, verification, and contradiction tools link to your secure data sources.
Controlled execution setup
Action classes and approval flows are configured so higher-stakes tasks require more authority.
Operational hardening
We run stress tests, tighten security, and validate that governance rules hold under real workloads.
Governance questions, answered
How control, access, and traceability actually work in your deployment.
What is PAUTELA and how does it guard evidence?
PAUTELA is the guardrail layer that locks evidence to its source. Every claim carries its trace, so a finding can be reviewed back to the originating document, query, and reasoning step.
How does the IBIO mechanism affect authorized access?
IBIO is a check on authority, not identity. The system gates every action against role and scope, so authorization is enforced per operation and cannot be bypassed by model output alone.
What can the STOP governor actually halt?
STOP sits above execution. If an action violates constraints, risks, or requires a higher authority than the current context allows, STOP denies it before it reaches your infrastructure.
Does my physical node follow a reference design?
Yes. Nodes are deployed according to the product and reference design for your configuration. We do not ship undisclosed hardware; what you operate matches the documented specification.
How is evidence traceability preserved when offline?
Traceability is local-first. Evidence, verification, and contradiction records are written to your controlled infrastructure, so audit integrity holds whether the system is offline or connected.
What is the difference between local and controlled connected models?
Local configurations keep all processing on your hardware. Connected configurations let you choose which external models NEXUSA may coordinate, while governance, evidence, and control remain in your hands.
Still have governance questions?
Speak with the team about how authority and traceability apply to your environment.
Built to run entirely on your infrastructure
NEXUSA deployment metrics focus on architectural capabilities. Each figure reflects what the system is designed to deliver under sovereign control.
100%
Local processing
In fully sovereign deployments, inference and analysis run on operator-controlled hardware without shared-cloud processing.
100%
Offline operation
Core research, evidence, and governance functions can operate without an external connection in fully sovereign mode.
0
Required external dependencies
No mandatory third-party APIs or cloud services are required for core operation.
100%
Data control
In fully sovereign deployments, CASE data and operational records remain within the operator-defined network boundary and administrative scope.
Request your private deployment consultation
For fully sovereign deployments, NEXUSA can operate on operator-controlled infrastructure without shared-cloud processing or mandatory external APIs. Deployment is configured around your governance, evidence, and operational requirements.