Intelligence does not scale by chance.
It must be architected.

Axiom is designed as a system — not a collection of tools, models, or workflows.

Architecture Principles

Axiom follows four core principles:

1. System-first, not model-first

Models reason. Systems decide and execute.

2. State is owned by the system

Intelligence requires persistent, shared state beyond any single interaction.

3. Execution is deterministic and controllable

Actions in the physical world must be reliable, auditable, and safe.

4. Configuration is isolated from runtime

What you design is never what you execute directly.

Intelligent Hardware Device System Architecture (Bottom-Up)

10 years of technical accumulation. Complete technology stack from smart hardware to AI products

Large Language Model LayerLLM LayerAI Agent Decision LayerAgent LayerEdge Neural Network Model LayerEdge AI LayerIoT Global Connection Edge Acceleration NodeGlobal Edge NetworkDevice LayerDevice LayerAI personal brainIntelligent training planningReal-time action analysisGlobal low latencySmart hardware interaction

Intelligence Flow

Perception

State

Decision

Execution

Feedback

This loop runs continuously — not per request.

Admin and Runtime Isolation

Axiom strictly separates configuration from execution.

Admin Plane:

  • • Agent definitions
  • • System policies
  • • Memory structures

Runtime Plane:

  • • High-concurrency execution
  • • Deterministic action handling
  • • Fault and failure isolation

This separation is fundamental to safety, scalability, and long-term operation.

Why This Architecture Matters

Real-world intelligence cannot be built by simply connecting more models. It requires:

  • • Structured state and execution
  • • Resilience to unstable environments
  • • Consistency across devices and scenarios

Axiom provides these capabilities by default.

Axiom is not an AI framework.

It is an intelligence architecture for the physical world.