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Causal world models
Map the variables, constraints, and second-order effects that shape a decision before the simulation runs.
The prediction engine for decisions that matter
Every possiblefuture, forecasted
Ask Omida a high-stakes question. It branches millions of world-model simulations, ranks the causal drivers, and returns a board-ready prediction.
Capabilities
Prediction infrastructure with a calmer interface.
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Branching futures
Explore millions of parallel outcomes with a decision tree that keeps assumptions visible and adjustable.
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Calibrated confidence
Every answer arrives with confidence intervals, uncertainty bounds, and the variables that would change the result.
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Board-ready output
Turn messy scenario analysis into clean probability distributions, causal graphs, and a recommended next move.
ProcessThree steps.
Three steps.
Millions of possible endings.
From a modeled world to a board-ready forecast — without leaving the workflow your team already uses.
Start simulating
Board-ready predictions
Every run returns calibrated probability, confidence intervals, and plain-language reasoning your team can inspect and challenge.
Model the world
Build causal worlds in Studio — agents, resources, events, and rules — then branch millions of futures from the structure you define.
More advanced features coming soon
Collaboration, deeper sensitivity tooling, and API-native workflows are on the way. Early access opens with Pro and Team plans.
Live metricsPerformance you
Performance you
can interrogate.
Live|Live clock
0
Futures sampled in latest run
0.7%
Scenario uptime this quarter
0s
Average board-ready answer
0
Causal variables mapped
Ready to stop
guessing?
Give every critical move a probability map, a causal explanation, and a forecast your team can challenge.
No credit card required