Every major decision, tested first.

Before you commit, we simulate how your customers and market respond to every option, then recommend the move that holds up best. One decision or a whole year of them, scoped in conversation.

27%Hero A, 30% off everything

58%Hero B, delivery date first

15%Hero C, the warm season

Winter Sale study, sample. Each square is one simulated visitor in Romania choosing a homepage hero.
A hand-tinted postcard of Calea Victoriei in Bucharest around 1900: a row of shopfronts with striped awnings and a few people walking past

The questions we answer

Each starts from the same question: before you put money behind this, how will customers respond, and what should you change?

Everyday work, like a campaign or a UX audit, runs through Thesia, our self-serve product.

New markets

Which country, segment or channel should come next?

Price and offer

Which mix of price, financing, delivery and guarantee should lead?

Launches

Which product, category or proposition should you back?

The year’s budget

Where should the money go across the site, email, ads and retail media?

First, one conversation.

We agree the question, the options and what you will send.

Then every option, every person.

Thymos runs every simulated person through every option and records where they hesitate, misread or leave.

Checked, then decided.

We read the run, rerun anything that looks off, and work out the recommendation.

The brief, within 12 hours.

For one decision in one market with complete inputs. A multi-country campaign gets a quoted timeline instead.

What lands in your inbox

The recommendation, how sure we are and why, the prediction, and the test that would check it.

What every call contains

Six things, written before the launch, so a call can never be a retrospective explanation.

The decision and its alternatives

The options set against each other.

The prediction, logged before launch

Timestamped before it goes live.

Metric, population and time window

What counts as success, for whom, over which dates.

Confidence or predicted range

How uncertain we were when we made it.

The actual outcome against a baseline

From public figures or your analytics, next to a useful default.

Limitations

What the result establishes, and what it leaves open.

Two questions we keep apart

First, did the prediction match the outcome?

We show individual results and no overall hit rate until enough comparable calls exist. A single percentage across different kinds of decision would mislead you.

Second, did following our recommendation cause a better outcome?

A campaign that did well proves nothing about our advice on its own, so every brief proposes the test that would check it.

Thymos reads. We decide.

Thymos models each decision from cognitive state. A simulated person weighs the offer, hesitates and decides, and the language model only puts that decision into words.

Your customers and the market they buy in sit at the centre. Around them, we are building the rest of their world: rivals who answer back, rules that change and an economy that moves.

The judgment is the part a person owns: which risk matters this month, and what you should do on Monday. We make that call and put our name on it.

What we need from you

Missing inputs are the most common reason a recommendation takes longer. We tell you in the first conversation what is missing.

The decision and the alternatives

What you are choosing between, and when it launches.

The creative, page or offer for each

As your customers would see it.

The market, and who it is for

Country, segment, and any fixed launch date or price floor.