Business Optimization
We map KPIs and bottlenecks to define priorities.
From Decisions to Physical Execution
AI Agent
- ERP
- MES
- WMS
Physical Automation Framework
- PLC
- Robot
- AMR
Physical Environment
Strategic Planning
We align business and IT strategies with a user-centric approach.
We redesign business goals and IT execution from a user-centered perspective.
01
02
User Experience
We define the interface frame used by decision-makers and operators.
03
Customized System
We define how ERP/WMS/MES should connect with the physical layer.
AI-Native Development
AI-Native Delivery Flow
We connect requirements, validation, and release readiness through an AI-native CI/CD flow.
01.
Requirement Framing
We structure requirements and edge cases.
02.
Build with Guardrails
We accelerate implementation within guardrails.
03.
Validate and Release
We tie validation and handoff into one loop.
Agentic Information System
AI Agents Connect Decisions to Physical Execution
We design an operating model where AI agents coordinate systems and physical environments together.
Structure Policy and Decision Logic
We structure policy and decision criteria for AI interpretation.
- Operating rules and approval criteria are structured.
- Priorities and exception conditions are clarified.
Orchestrate Actions Across Enterprise Systems
It orchestrates ERP/WMS/MES actions as one operating flow.
- ERP/WMS/MES events are unified into one flow.
- Decisions and execution instructions stay in one loop.
Feed Physical State Back Into Decisions
Physical-state feedback returns to the decision loop.
- Live state and execution results are fed back.
- Decision logic is continuously refined by field feedback.
ROS2
Physical Automation Framework
Automate Physical Environments with a Software Framework
Built around ROS2, the framework connects navigation, context recognition, simulation, and agentic control in one execution structure.
Navigation
Task routes are planned against real-world space and operational constraints.
Context Recognition
Physical context is fed directly into control logic.
Simulation
Simulation validates behavior before live deployment.
Agentic Controller
Execution policy and safety rules are coordinated in one control layer.
Robot Training & Delivery
From Robot Training to Delivery Readiness
We connect imitation learning and rule-based learning to real robot deployment and delivery readiness.
Safety Logic
Rule-Based Learning
Safety rules and exception handling reinforce robot behavior in live operations.
Demonstration Learning
Imitation Learning
Demonstration data is turned into deployable robot behavior.
Robot Lineup
