A world for the work
Tasks, tools, records, rules and consequences.
Environments for training and testing AI agents
Build the world.
Train on the work.
World0 builds simulated workplaces where agents act, learn from rewards and are tested on the work they leave behind.
FOR AI LABS, ENVIRONMENT PROVIDERS & AGENT TEAMS
THE WORLD0 PLATFORMBuild. Evaluate. Train. Retest.Explore the cycle
Inside the World0 workspace
Different work.
A common foundation.
Explore the environments, workflows and research we have built.
Recorded agent runs
Operating decisions with connected consequences.
Coordinate crude cargoes, production, storage and sales under plant constraints.
The full reinforcement learning cycle
Build. Evaluate.
Train. Retest.
A starting point
Run the agent and verify what it actually did.
Rewards into learning
Use scored experience to update the model.
Return to the work
Inspect the updated agent’s actions, successes and failures.
Look inside
the agent’s decisions.
Different environments expose different demands on an agent.
Buy the scope
your team needs.
Use World0 environments with your training systems, or scope the full cycle around your workflow.
Labs & environment providers
Environments, tasks and rewards
Tools, resets, outcome checks and trajectories for evaluation and training.
Businesses & agent teams
A world around your work
Custom environment development, evaluation, RL training and retesting, with maintenance as the work changes.
Research behind
the worlds.
Pricing, inventory and agent behaviour studies inform the environments we build.
Bring the work. Give it a world.
Define what your agent needs to do, the tools it uses, and what a correct outcome looks like.