Infrastructure Intelligence
AI systems for infrastructure planning, engineering analysis and project evaluation.
PHYCYBER RESEARCH
AI for Cyber-Physical Systems
AI for the Physical World
Building AI systems for cyber-physical infrastructure, engineering intelligence, and real-world environments.
PhyCyber Lab explores how AI agents can design, analyze and operate complex physical systems — from environmental remediation to intelligent buildings.
Cyber + Physical + AI
The next generation of infrastructure will not be built only with concrete and steel.
It will be built with intelligence.
PhyCyber Lab develops AI systems that connect software intelligence with the physical world.
Environmental AI
AI tools for land remediation, environmental engineering and sustainability.
Smart Built Environment
AI copilots for intelligent buildings, energy systems and cyber-physical environments.
Systems
Experimental AI systems developed in the lab.
Environmental Decision AI
AI system that generates remediation strategies for soil and environmental engineering projects.
- Soil analysis interpretation
- Remediation plan generation
- Cost estimation
Smart Building Copilot
AI assistant for intelligent buildings integrating KNX, DALI and automation systems.
- Energy optimization
- Automation generation
- Device orchestration
Engineering Proposal AI
AI engine that generates engineering proposals, technical reports and project documentation.
- Proposal generation
- Technical documentation
- EPC project support
Infrastructure AI Agent
AI agent that analyzes infrastructure projects and generates feasibility and investment insights.
- Project analysis
- Risk evaluation
- Investment intelligence
Technology
PhyCyber is not about using AI only for software. It is about deploying AI into real-world systems.
AI Agents
AI is not just a tool, but autonomous systems that can execute workflows.
Engineering Intelligence
AI for engineering decisions, proposal generation and project analysis.
Cyber-Physical Integration
Connect data, software and physical systems into an intelligent loop.
10-Year Roadmap
Phase 1 — AI Engineering Tools
Build high-value AI systems, domain tools and practical demos.
Phase 2 — AI Infrastructure Platform
Unify engineering AI, environmental AI and building AI capabilities.
Phase 3 — Autonomous Infrastructure
AI participates in design, construction and operation at system scale.
PhyCyber also explores investments in technologies shaping cyber-physical intelligence: robotics, infrastructure tech, energy systems and AI engineering.
Essays
Technical narrative is part of company building. We publish essays on AI and physical infrastructure.
Featured Essay
The Future of AI for Physical Infrastructure
Why the next chapter of AI is not software-only, but embedded in cities, energy, environment and engineering systems.
Read The Manifesto
Founder
Tsinghua background in computer science and MEMS engineering. Previously architect and technical lead at Huawei, Alibaba and Ant Group. Building AI systems for cyber-physical environments and real-world infrastructure. Interested in AI agents, complex systems and technology investment.
Collaborate
PhyCyber Lab collaborates with researchers, engineers and organizations exploring AI for real-world systems.
hello@phycyber.ai