Layer 01
Private Model Layer
Open models deployed on infrastructure chosen for workload, latency, language fit, and regulatory posture.
Architecture
Private AI deployed as an operating stack, not a single app.
Aethonex architecture is modular by design. The model layer, knowledge layer, workflow layer, and governance layer can be deployed incrementally, but the operating logic is coherent from day one.
Layer 02
Knowledge & Retrieval
Ingestion, vector memory, and internal search systems that keep business context inside the environment.
Layer 03
Workflow & Agents
n8n-class orchestration and agent systems connecting AI to support, sales, reporting, and internal operations.
Layer 04
Routing & Governance
Policy-aware routing, access control, usage handling, and model governance at the system boundary.
Deployment Style
Modular
One wedge first, then expand without platform reset.
Data Boundary
Local
Business context remains inside the client-controlled environment.
Observability
Governed
Usage, workflows, and system behavior can be monitored and documented.
Outcome
Compounding
Each new workflow strengthens the owned intelligence layer.
Sovereign Stack Sandbox
Deploy the Sales-Ready Sandbox
Configure and run the Aethonex core pipeline in minutes. Test our zero-egress data boundary with a telemetry-severed sandbox incorporating Caddy, Postgres, Qdrant, Ollama, and n8n.