SmartInfer

Your dashboard says Meta ROAS is 4.2. Would you bet next quarter’s budget on it?

Galileo is a marketing scientist that shows its work — it builds a marketing mix model from your weekly spend data, answers budget questions with confidence intervals, and refuses to state a number its engine didn’t compute.

Galileo, the Marketing Scientist — by SmartInfer.

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A real session

What working with Galileo looks like

This replay renders actual engine output — the confirmation table, the confidence intervals, and the refusal are all real. Nothing here is scripted copy.

Session replay — captured engine output

How it works

Three steps, no integrations required

  1. Upload your weekly spend CSV

    Date, spend per channel, revenue. 26+ weeks. That’s the whole data requirement — validation gates tell you immediately if something’s off.

  2. Your model and report are built

    Saturation curves, channel contributions, budget scenarios, and a credibility certificate that states plainly how much to trust each number.

  3. Interrogate them with the Marketing Scientist

    Once your report exists, the chat activates. Ask what-ifs, get CI’d answers, see the evidence trace behind any recommendation.

Honesty is the product

The certificate comes standard

Every report closes with a credibility certificate. When your data can’t support confident answers, the certificate says so — and the agent’s recommendations are gated accordingly.

Credibility certificate

CREDIBLE Credible, with caveats

R² 0.98 · MAPE 0.7% · CI coverage 6/6 · 52 weeks

  • Short history limits channel-ranking confidence.
  • Estimates are directional guides, not guarantees.

Explore both outcomes in the live demos — the full interactive report, synthetic data with known ground truth (it’s how we verify the engine):

American Heritage Leather — the confident model Bloom & Co. — when data can’t support confidence

Validation methods · Briefs

Not an annual report

A weekly scientist

Bring Galileo new weeks and it updates the model — an exact update, not a re-guess. It checks its own past recommendations against what actually happened, and each one carries a running verdict:

consistent · inconsistent · evidence accumulating

And when the new weeks contradict the model, it refuses to update and asks for a refit — you saw that refusal in the session above. An MMM you can hand new data to is a different product from a deck you commission once a year.

Founding 100

Pricing

Galileo is onboarding its first hundred brands directly. Concierge onboarding, founder attention, and pricing set on the call — not a form, not a tier page. If the model can’t serve your data honestly, we’ll tell you that on the call too.

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Questions

FAQ

What data do I need?

A weekly CSV: date, spend per channel, revenue. At least 26 weeks (52+ is better). You export it; Galileo validates it on upload and tells you exactly what’s missing if anything is.

Why synthetic data in the demos?

Because synthetic data has known ground truth. We plant real effects and measure whether the engine recovers them — interaction detection runs at precision 1.00 against planted effects. A demo on real client data would show you a report; it couldn’t show you that the report is checked.

What won’t Galileo do?

It won’t estimate numbers its engine didn’t compute, it won’t update a model when new data contradicts it (it asks for a refit instead), and it won’t speculate about analyses it doesn’t have. Campaign-level and product-segment attribution are out of scope.

How does my data get in?

CSV upload. Promo calendars and context documents can be uploaded too — Galileo extracts them, shows you a confirmation table, and nothing enters your model until you approve it.