Six specialists trace what follows. Every consequence carries its own probability and its sources.
Why decisions go wrong
A decision meeting names the effect somebody in the room owns. It rarely names the effect two steps out, in a domain nobody in the room covers. Those are the ones that cost, and they are the ones nobody war-gamed.
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 built-ins won't cover every decision. Add a specialist of your own, a name and a lens, and it joins the panel on every cascade, in its own colour.
A real run, seventy-six consequences from one question, building the way the product builds it. When it settles it is yours: open a consequence, fold a branch, pan and zoom.
Every number is that consequence's own probability, given the branch above it. Open one to see the base rate it started from, the precedents behind it, and the sources it was read from.
Type any event, decision, or scenario. Cascade makes it the root of the tree.
Six specialists work at once: an economist, a sociologist, a technologist, a political analyst, a lawyer and an environmental scientist, each reading live sources in its own domain. 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.
Open any consequence for its reasoning and the sources behind it. Hand the whole map to somebody as a read-only link. Take it out of the product as a picture, a document or data, and put it in the deck the decision actually gets made in.
Built for the people who have to answer for the decision: founders, executives, strategy teams, investors, policy and operations.
Cascade maps the knock-ons: revenue per customer up, acquisition cost up with it, the mid-market quietly leaving, competitors undercutting, enterprise contracts flagged for 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.