Open World Models for Physical AI
Let AI understand, predict, and act in the real world.
OpenWorld builds open-source infrastructure for physically grounded future simulation.
Our Vision
Our Vision
OpenWorld aims to become the open world-model operating layer for Physical AI, helping robots, drones, cameras, and agents understand, predict, and act across industry, cities, and homes.
Understand the World
Understand current world states across objects, space, agents, and environmental change.
Predict the Future
Predict how different states and actions evolve into future outcomes.
Act in the Physical World
Help robots, drones, and agents make safer and more reliable action decisions.
Physics-to-Video, not another video generator.
Choose a physical template, set initial state and action, then generate a future video with trajectory, explanation, and physics consistency score.
Content generation
Generate a clip that looks real.
Future simulation
Generate what could really happen next.
Ball & Ramp
Domino Chain
Robot Push
Liquid Pouring
Technology Path
Core Technology Path
Real-world Data Engine
Video, image, sensor, and robot trajectory data.
World Model Training
Learn space, time, physics, and state evolution.
Future-state Video Rollout
Generate future video outcomes under causal and physical constraints.
Action Interface
Connect robots, drones, cameras, and agents.
Open Core Strategy
Open Core Strategy
Open core infrastructure, enterprise-grade capability.
Open source
- Lite world model
- SDK / Benchmark / Examples
- Video rollout tools
- Robot interface
Enterprise capability
- Stronger models
- Private deployment
- API / model licensing
- Enterprise implementation
- Robotics ecosystem partnerships
Use open source to build ecosystem standards and enterprise capability to support long-term adoption.
Business Model
Business Model
Pilot Projects
Collaborate with robotics, drones, AI agents, and enterprise customers to validate world model capability.
Private Deployment / License
Serve customers with strict requirements for data security and operational stability.
API / Model Licensing
Provide future-state prediction, physically consistent video generation, and action-consequence rollout capability.
Ecosystem Partnerships
Co-deploy with robotics, drones, cameras, smart hardware, and video platform partners.
Core Team
Core Team
Top technical capability and long-term deep trust.
CY
BEng from Beihang, master's from Tsinghua, PhD from Imperial College London, leading model direction and technical strategy.
AL
Global tier-one multimodal and world-model infrastructure leader, responsible for model training and system tuning.
PT
BEng from Shanghai Jiao Tong University, master's from Tsinghua, experienced in internet and AI B2B/B2C ventures, leading business development.
Join Waitlist
Join the OpenWorld Waitlist
Get early access to Physical Video Simulator and future open-source tools for world-model research, robotics, video generation, and enterprise pilots.