What is causal intelligence?
Correlation tells you what moved together. Causal intelligence tells you what happens if — the difference between a guess and a reason your agent can defend.
Two ways to read the same world.
Patterns in history. Useful — until the world changes, and the world is always changing. Correlations break exactly when the stakes are highest: a new regime, an intervention, a shock. The moment you most need the answer is the moment it stops holding.
A model of cause and effect. It answers counterfactuals — what an export-control headline does to GPU supply, and what that does to your position — and it holds when the regime shifts, because it encodes why, not just what.
From event to repricing, mapped link by link.
09:42 ET — a BIS filing widens export-control scope. Each link carries the probability it has historically passed through to the next.
Agents don’t predict. They act.
Every action is a bet on a counterfactual. To act well, an agent has to reason about what its choice causes — not what merely correlated last year. A causal forecast is the difference between automation you can hand a decision and automation you can’t.
Put causal intelligence behind your next decision.
Bring a live question. We’ll trace its causal pathway and show you an identified effect and its knock-on ripple — before you act, with the reasoning attached.
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