Meet demand without tying up cash in excess stock.
Order less. Demand is still met and the least cash is tied up.
Test consequential decisions against a model of your business.
Ergodic builds a working model of how your operation behaves. Test a price change, a capacity shift or a supplier switch against it, then compare what each option could change and cost. You see the likely outcomes, the knock-on effects and the trade-offs before you commit.
Backed by
Test the decisions that grow and protect your business.
One model of your operation. Compare the actions that meet demand, control operating costs and prepare for disruption, before you commit to any of them.
Control costs while keeping deliveries on track.
Reroute. The delivery date holds for a small extra cost.
Limit the impact of supplier disruption.
Rush the delivery. Your biggest customers are covered first.
A decision that helps one part of the business can affect another. Compare the consequences in the same model.
Talk To An ExpertThe decisions that matter most, made blind to reality.
The AI tools you use are reliable to a point, a bounded task like redlining a contract or updating a ticket, with nothing downstream to break. But the decisions that carry real consequences, which supplier, how much to buy, where to route, need something those tools can't give: a model of what happens next.
No model of what happens next once they act.
No way to weigh one move against another before committing.
No line from a recommendation back to its cause.
Every big decision needs a world model.
A high-stakes decision can't be reasoned about in a vacuum, it needs an environment to test inside. A world model is that environment: a living model of your operation you, or an agent, can push, test, and query before anything touches the real business. Here's what it gives you.
01
Grounded in reality
A live model of your operation, every counterparty, position, and exposure, and how risk moves between them, not a snapshot or a dashboard it reads.
02
Runs the futures
Thousands of paths per decision, carried forward with the noise the real world brings.
03
Weighs the trade-offs
Scores every candidate move against the same reality and ranks them by expected outcome against your target.
04
Shows its work
Auditable at every step, each number traces back through the world model to cause, not correlation.
The foundation for the self-driving enterprise.
A task agent runs a prompt and returns an answer. A decision agent runs your business forward, weighs the options, and acts, because a world model gives it somewhere to reason.
Before · task agent
Prompt in, output out.
Good at what they do. A single, bounded path, the limitation is scope.
After · decision agent
Traverses an environment.
Runs simulations, tests alternatives, traces consequences. It asks what if, and explores a space instead of following a line.
Run the decision before you commit to it.
Read how an Enterprise World Model works, or bring us a decision and watch it simulated against a model of your own operation.