Know which creatives will win before you spend.

An AI scientist that decides which creatives consumer companies create, test and scale.

From your data to a call on every creative.

Connect your accounts, get a prediction before you spend, then let a test prove it.

  1. Every channel connects, your creatives are ranked by engagement, and the data points to the right brief.

  2. Each concept gets a predicted range and a confidence score, and an A/B test is designed around them.

  3. The test runs against the calls. The winner is scaled, and the model gets sharper each round.

Who it is for

Skincare brand, first-time buyers 25 to 34

Open on the product or on the texture?

High
Texture first2.4 to 3.1% hook rate
Medium
Product first1.6 to 2.2% hook rate
Other decisionsHookOpening shotClaim
Marketplace seller, deal hunters

Price first or product first?

High
Price in the first second2.3 to 2.9% hook rate
Medium
Product close-up first1.5 to 2.1% hook rate
Other decisionsOfferHook
Streaming app, casual viewers 18 to 34

Which trailer cut earns the most watch time?

High
Character first2.5 to 3.2% hook rate
Medium
Action first1.7 to 2.3% hook rate
Low
Mood montage0.9 to 1.4% hook rate
Other decisionsThumbnailLength
Coffee ordering app, lapsed users

Which offer brings lapsed users back?

High
Free drink on return2.2 to 2.9% hook rate
Medium
Double points week1.4 to 2.0% hook rate
Other decisionsOfferTiming

The technology

Three parts work together, and each one is grounded in research.

Predictive ranking model
Past test: A beat BPast test: C beat DNew: Hook B beat Hook A

Learns from past randomized experiments, and keeps learning from each new result.

Population simulator

Personas and external knowledge, calibrated to how real people respond (dotted line).

Inform and calibrate
Prediction with uncertainty
LowMediumHigh
High81% confidence
COLM 2026 workshop paper

Reason-Mediated Behavioral Models for Auditing LLM Social Simulators

Read the paper

See your next winner before you spend.

Book a demo