See what happens next,
before you commit.
MiroFish simulates how decisions play out under uncertainty. Describe the situation, hand over the numbers, get a branching map of the futures your data implies — assumptions made visible.
Pay in crypto · Cancel anytime · 30 days per payment
Built for the decisions you can't afford to guess on
Not a chatbot. Not a forecaster. Something different.
Branching futures
Every run produces a tree of weighted outcomes. The optimistic path, the baseline, the one where things break — each with its own probability and story.
Arguable assumptions
The engine ships the assumptions behind each branch as first-class output. Edit one, the whole tree updates.
Sensitivity, surfaced
Discover which single input the outcome actually pivots on. Most spreadsheets bury this. The engine puts it on top.
Tripwires to watch
Each simulation suggests an observable signal that would tell you you've landed in the bad branch — so you can act early.
Prompt-driven workflow
Paste a few sentences and a CSV. The engine asks for what's missing. Refine via chat — no spreadsheets to rebuild.
Your data, isolated
Per-user encryption, never used to train shared models. Crypto-native billing means no card data either.
In the wild
Real questions, run through the engine
Anything with inputs and an outcome can be simulated.
Questions before you start
What exactly is a foresight engine?+
A system that takes your situation as input, runs many plausible futures forward, and returns a ranked, explained view of where things land. Not one prediction — a distribution.
How is this different from a regular AI chat?+
Chat answers questions. The foresight engine simulates outcomes. It branches, weights paths by likelihood, and shows you the assumptions behind each branch so you can challenge them.
Can I use my own data?+
Yes. Paste numbers, drop in CSV snippets, or describe the situation in plain English. The engine grounds its simulation in what you provide.
Is my data private?+
Every account is isolated. Your simulations and chats are visible only to you and are never used to train shared models.
Do I need to be technical to use it?+
No. Most users describe their decision in two or three sentences. The engine asks follow-ups to fill gaps before it runs.
How does pricing work?+
Pick a plan, pay monthly in any major crypto. Each payment covers 30 days of access. Cancel by just not renewing — no commitment.
Which industries does this work for?+
Anywhere a decision has measurable inputs and an outcome: SaaS pricing, hiring plans, market entry, capital allocation, supply timing.
Can the engine be wrong?+
Of course. Every output ships with the assumptions behind it. The point is to make uncertainty legible, not to hide it.