Mirakls builds a living model of your exact market — then lets you run the decision a thousand times before you make it once. Who buys. Who balks. Why. Before you make a decision.
Change the offer. Launch the line. Kill the feature. Enter the market. The decisions that move real revenue are exactly the ones you can't A/B test — everyone sees the change at once, and nobody un-launches a launch.
So they get decided the old way: the loudest voice in the room.
Before a single simulated customer answers anything, the engine studies your market the way your best analyst would — what your buyers praise and complain about in their own words, what your competitors quietly changed, which pressures are bending the category.
Hundreds of synthetic customers — each with demographics, psychology, buying reflexes, and a memory of your category.
Segment by segment, persona by persona, they are the crowd that walks past your window every day — finally willing to answer questions.
“Do we launch the compact line this fall?” Days later, not months: who's in from day one, who waits for proof, who was never yours — segment by segment, with the exact objections each group raises, in their own words.
Not another dashboard to interpret. A verdict with an argument attached: the recommendation, the distribution, the reasoning, the confidence.
Ask a chatbot your launch question and it answers — instantly, confidently, from nowhere in particular. Here's what changes when the verdict comes from a market instead of a model.
Hand us one decision you already made — a launch, an offer, a campaign. We simulate it without seeing the outcome. Then you put our verdict next to what actually happened.
Accurate enough that we invite you to test us blind: hand us a decision you already made — we simulate it without seeing the outcome, you compare. Every verdict ships with its confidence stated and its reasoning shown, so you're never asked to trust a naked percentage. The argument is the proof.
A chatbot gives you one plausible opinion from nowhere. Mirakls gives you a distribution from somewhere: your market, researched, segmented, remembering your competitors and your customers' complaints. Ask both the same question — one of them has done the reading.
It replaces guessing. Keep A/B testing everything an A/B test can reach. For everything it can't — the changes everyone sees at once, the launches nobody un-launches — you now have an instrument where you used to have a meeting. Then validate the finalist however you like.
The population is grown for your market, not pulled from a shared panel — your segments by construction. And the engine polices itself: if a segment is too thin to carry a conclusion, the verdict says so before you've spent anything on it.
We barely need it. The model is built from public evidence about your market — we don't require your CRM to be useful. Whatever you do share sharpens your model and only yours. Org-private, EU-hosted, exportable.
Ask the question on Monday, read the verdict before the week is out — then ask the follow-up nobody budgets a second study for. Mirakls is in closed beta with a handful of European commerce brands; the next seats go to founders with a decision they'd rather not guess.
Mirakls is opening to a small group of European commerce brands. Give us your market and one real decision — we'll do the rest.
We'll start looking at your market and reply within a few days with your first steps.
Pick one you know the ending to. We simulate it without ever seeing the outcome — then you put our verdict next to what actually happened.
We'll model your market, simulate the decision without seeing your outcome, and send you the side-by-side. You reveal what really happened when you're ready.