A Five-Layer Architecture, Fully Private If Needed

From infrastructure to business applications, every layer can run inside your own environment. Models, knowledge and data stay within your boundary, and permissions and auditing follow the business.

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L5: Application layer · marketing / support / websites / analytics
L4: Agent layer · orchestration / collaboration / tool calling
L3: Knowledge and data layer · RAG / graphs / governance
L2: Model layer · access / routing / private models
L1: Security and infrastructure layer · permissions / audit / encryption

Public cloud · Dedicated cloud · Fully private

Why Five Layers

Model changes, data residency and access rights are handled at different layers, so business scenarios never have to be rebuilt from scratch.

Switching models touches only L2, switching business systems touches only L5, and permissions and auditing always converge in L1.

L5Application layerAI marketing, AI support, AI websites, business analytics, business agents, enterprise apps

L4Agent layerAgent orchestration, multi-agent collaboration, workflow engine, tool calling

L3Knowledge and data layerRAG retrieval, knowledge graphs, data governance, vector engine

L2Model layerMulti-model access, model routing, fine-tuning, private models

L1Security and infrastructure layerPermissions, audit logs, encryption, private deployment, API gateway

Security and Governance

We do not just promise security; we build the controls into the product: permissions, auditing, encryption and traceable citations.

Three deployment modes

Public cloud, dedicated cloud or fully private. Models and data can stay entirely inside your environment.

Permissions and audit

Visibility is controlled by role, and critical actions leave a traceable record.

Data encryption

Encryption in transit and at rest, with masking for sensitive fields.

Traceable citations

Answers carry their sources, so unsourced content never enters business processes.

How to Roll It Out

From proving value to full private deployment, you can move in stages rather than all at once.

01
Public cloud
Fastest to launch and scale on demand; ideal for proving scenario value first.
02
Dedicated cloud
A separate instance with network isolation, so data is never mixed with other tenants.
03
Fully private
Models, knowledge bases and applications run inside your network, and data never leaves the boundary.

Define the Deployment Boundary Before the Scenarios

Tell us where your data lives, who can access it and what audit requirements apply, and we will map out the deployment plan and implementation checklist.

Book a Demo

Format: Online meeting, scheduled within one business day
Output: Scenario list + budget estimate
Fee: Free, no purchase commitment
Phone: +86 132 6589 6872