Describe an event. A panel of specialist agents maps what happens next, and you can add your own.
The expensive mistakes are the ones nobody war-gamed. Cascade maps the knock-on effects across six expert domains, three orders deep, so the second- and third-order effects surface before you commit, not after.
Economist, sociologist, technologist, political analyst, lawyer, environmental scientist. Each agent reasons in its own domain; the tree composes them into one map.
Every agent grounds its prediction in live sources, searching, reading, citing, and streams its reasoning as it works. No black-box wait.
Open any node for the reasoning, a confidence score, and the sources behind it. Every claim links back to where it came from.
The six built-ins won't cover every decision. Add a custom agent, a name and a lens, and it joins the panel on every cascade, in its own colour.
Pan, zoom, and expand any branch. Probability and citations are inline. Export it as PNG, PDF, or JSON.
Type any event, decision, or scenario. Cascade makes it the root of the tree.
Every enabled agent works in parallel, built-in and custom, grounding each consequence in live sources. Branches appear as they are found; a full run takes a few minutes.
Open any node for its reasoning and citations, expand a branch to go deeper, switch views, or export.
Cascade maps the knock-ons: revenue per customer up, CAC up 40%, mid-market quietly leaves in months 2–4, competitors undercut, three enterprise contracts flag breach risk.
Feed in a proposed rule. Cascade traces who it touches, in what order, and where the second-order costs hide.
Yes, that's the point. Give it a name and a short description of what it should focus on, pick a colour, and it joins the panel on every cascade in its own branch. Turn the built-in agents on or off as you like.
Map it first. Change one assumption, see what it does to the odds downstream, and commit with the whole tree in front of you.
Cascade is not open yet. Leave your address and we will write the moment it is.