The data foundation for next-generation intelligent worlds.
We build engine-grade interaction data, controllable environments and evaluation systems, grounded in deep expertise in multiplayer and interactive systems.
AI can generate what a world looks like. We focus on what happens when many people or agents act inside it.
Our strength is in multiplayer and interactive systems: preserving identity, location and causality as participants act and environments respond. What one person or agent changes must become a consequence others can observe and inherit.
We turn that foundation into controllable environments, synchronized single- and multi-agent interaction data and evaluation systems for world models, video generation, simulation, robotics and embodied AI.
Read our approach
From building worlds to teaching AI how they work.
We build on Yahaha's multiplayer game engine, creator tools and live product experience. This foundation gives us controllable environments and real interaction from which engine-grade data can be produced.
- 01Multiplayer engine and runtime
- 02Global creator ecosystem
- 03Controllable environments
- 04Years of live interaction
The infrastructure behind multi-agent interaction.
Khora
Khora shows how multiple players can act inside one generated world while their views remain aligned in real time. The multi-agent world model is being advanced through an ongoing collaboration between Ophilus and RhOS.ai.
