Core Technology & Innovation
Full-stack Physical-AI Model Architecture
Built on data and simulation, driving industrial cognition and task execution
Multi-agent, multi-device collaboration
Execution constraints → reliability guarantee
Multimodal analysis → task planning
Complex long-horizon task execution
Multimodal data acquisition
Autonomous generation of industrial environments
Task orchestration | Safety constraints | On-site execution
S-VLM / LT-VLA / industry vertical models
Perception | Understanding | Reasoning | Planning
AutoEdge / AutoWorld
Real-world data | Edge-cloud collaboration
Simulated training | Environment generation
Physical AI reshapes next-gen industrial intelligence
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Perceive the World
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Understand the World
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Act on the World
Full-stack Physical AI Architecture
A three-tier physical-AI stack built for industrial demands
JX-Phi Universe — three-tier physical-AI model architecture

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Tier 1: Data & Simulation Foundation
Problem to solve: "Where does industrial-AI data come from?"

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Tier 2: Industrial Cognition & Decision Models
Core model: JX-Phi-0.3 Physical-AI Foundation Model (S-VLM + LT-VLA + industry vertical models)
Problem to solve: How does AI "understand" the industrial site and "plan" actions?

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Tier 3: Deliverable Task System
Core paradigm: Harness · Domain Controller
Problem to solve: How are model capabilities turned into executable on-site "tasks"?
How Physical AI Reliably Delivers Industrial Tasks
System-level solution: closed loop from perception to action, one architecture across diverse high-value industrial scenarios
Power Grid
Power Gen
Chemical
Oil & Gas
Steel
Rail Transit- …More…
- JX Grid Agent
- JX Power Agent
- JX CE Agent
- JX Petro Agent
- 10+ Industry Agents
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Domain Controller
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Embodied Compute Module
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Jiangxing Data &
Compute Center
Top-tier Academic DNA × 8 Years of Industrial Depth
Academia, industry, patents — a triple technology moat
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450+
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60%
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27
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1000+
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8 yrs



