sapien
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AI-powered market research

Predict the futureand act now.

Sapien simulates populations to predict responses to products, prices and campaigns. Understand what people will choose, why, and what to do next.

Synthetic populations

Understand people. Predict their choices.

Sapien builds synthetic populations: simulated audiences grounded in purchase, behavioral and research data. Ask questions, compare alternatives and see how different groups respond.

People conversing, walking and sitting on ivory architectural terraces beneath a curved wall and arch.Your population

How Sapien works

  1. Real consumer data

    We combine purchase histories, behavioral data, demographics, surveys and public conversations to model consumer choices. Your customer data and past research can add context.

  2. The people you need to understand

    We build an AI population that reflects your audience’s demographics, buying habits, needs and priorities. Study an entire market or focus on a specific group.

  3. Your questions and ideas

    Run surveys, qualitative interviews and comparison tests with the same simulated audience. Explore a question, test an idea or compare the options behind a decision.

  4. What they would choose, and why

    Get an interactive report with results, segment comparisons and recommendations. Explore the responses behind the findings, then ask the same population follow-up questions.

Bring the question. Our team builds the audience, runs the study and helps you interpret the findings.

Use cases

Know what to launch.
What to say. What to change.

Explore the decisions you can test with Sapien.

Concepts, features and packaging

Product development

Compare product concepts, features and packaging with the same audience. Find the ideas worth developing and the changes that strengthen purchase interest.

Concept-testing example comparing two portable speaker designs.

Messages, creatives and audiences

Marketing

Compare messages, ad creative and campaign combinations before you commit spend. See which approach resonates with each audience and what to improve.

Creative-testing example comparing ads, formats and target audiences.

Prices, promotions and bundles

Pricing research

Test prices, promotions and bundles across buyer groups. Compare price sensitivity and see how an offer changes purchase interest, buying frequency and switching.

Pricing-research example comparing purchase intent across prices and buyer groups.

Needs, habits and motivations

Audience segmentation

Segment your market by needs, buying habits and motivations. Find the groups most likely to buy, what matters to them and which offers they respond to.

Segmentation example comparing audience priorities, buying patterns and population share.

New markets and competitor moves

Market strategy

Evaluate new markets, identify growth opportunities and test responses to competitor moves. Predict where demand could come from and what would make buyers switch.

Market-strategy example comparing two competing offers.

Prediction benchmarks

Our predictions, tested against real life.

93.3%

Average accuracy across 19 benchmark tests.

We hid the real results, gave Sapien the relevant background information and asked it to predict the outcome. Then we compared its predictions with what actually happened.

Answers at the speed
of decision-making.

Bring your product, campaign or pricing question. Get same-day predictions, understand what drives the results and decide what to do next.