Behaving AI

Predict user behavior
before users exist

Run AI-powered synthetic user simulations to test UX, growth strategies, pricing, and product decisions — before launching to real customers.

Audience Testing

Synthetic Audience Survey

Customize your target cohort and run an instant AI-powered synthetic simulation to see how different demographic segments navigate and experience your product.

Configure Cohort Demographics

Target Cohort Size

Demographic Profile Estimation

12,600

Active Synthetic Clones

Synchronized & Ready

Demographic Profile
RegionCalifornia
GenerationMillennials
Income tierMiddle
OccupationSoftware Developers
Census Target PopulationConfidence Level: 95%
Simulate in minutes

How Behaviour Testing Works

1
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Record Journey

Use the Chrome Extension to record a successful checkout, login, or page flow directly on your website.

2
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Run Simulation

Select a synthetic user persona (or define custom behaviors) and start the AI agent to execute navigation steps and capture screenshots automatically.

3
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Analyze Reports

Get detailed step-by-step reports detailing UX score, friction points, bugs, and direct recommendations.

Designed for modern teams

Core Features

psychology

Synthetic User Profiles

Deeply configure synthetic user profiles and cognitive load parameters to precisely match the patience, experience, and intent of your target audience.

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Vibe Code Split Test Editor

Configure custom styles and redesign page elements parameters directly from the browser extension panel to simulate B variations against your baseline.

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Interactive Interviews

Chat directly with the synthetic user persona after the simulation runs to query their feelings, opinions, and visual issues they noticed.

The Problem

Product decisions today are mostly guesswork

Teams rely on slow user tests, post-launch A/B testing, expensive research, and gut instinct. The result? You only learn what works after real users arrive.

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A/B tests need real traffic

You can't experiment without exposing real users to potential bad experiences and waiting weeks for statistical significance.

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UX testing is painfully slow

Recruiting participants, scheduling sessions, and analysing qualitative findings takes weeks, not hours.

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Market research is expensive

Surveys, focus groups, and research agencies drain budgets while still delivering uncertain results.

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Analytics only show the past

Traditional product analytics tell you what already happened — never what will happen next.

lightbulb You only learn after users arrive — and by then it's too late.
Features

Everything you need to predict user behavior

A complete suite of tools for synthetic user testing, from persona generation to behavioral analytics.

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Synthetic User Generation

Create AI personas with realistic motivations, demographics, tech savviness, and behavioral patterns that mirror your real audience.

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UX Simulation

Watch how thousands of simulated users navigate your product, discover friction points, and complete or abandon critical flows.

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Growth Experimentation

Test onboarding flows, pricing strategies, referral loops, and feature launches without risking your live user base.

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Behavioral Analytics

Predict churn probability, conversion rates, feature engagement, and session depth before a single real user arrives.

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Market Research

Simulate how different audience segments — by age, location, intent, and tech literacy — react to your product concept.

Use Cases

Built for teams who ship with confidence

Whether you're validating ideas or optimizing live products, synthetic user testing accelerates every stage.

Product Teams

Test features before building

Validate product concepts and feature ideas with simulated user cohorts before investing engineering resources.

Growth Teams

Simulate funnel experiments

Run thousands of virtual A/B tests on signup flows, activation sequences, and conversion funnels in minutes.

UX Researchers

Identify friction points

Discover usability issues, confusing interactions, and drop-off triggers without scheduling a single user interview.

Founders

Validate ideas before development

Test market fit, messaging, and user interest with simulated audiences before writing a line of code.

Example Scenarios

See it in action

Real-world experiments you can run today with simulated users.

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Pricing Experiment

Simulate 10,000 users reacting to a pricing change. Predict revenue impact before touching your pricing page.

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Onboarding Optimization

Predict exactly where users drop off in the first session and test optimizations without a single real signup.

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Landing Page Validation

Test messaging, layout, and CTAs before running ads. Know your conversion rate before spending a dollar.

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Feature Adoption

Estimate how many users will discover, try, and adopt a new feature — and what drives stickiness.

Why This Is Different

From rearview mirror to crystal ball

Traditional Analytics

  • close Requires real user traffic
  • close Shows past behavior only
  • close Slow experiment cycles
  • close Real users exposed to bad UX
  • close Results take weeks

Behaving AI

  • check No real users needed
  • check Predicts future behavior
  • check Run experiments in minutes
  • check Zero risk to real users
  • check Instant actionable insights
Analytics explains what happened
Synthetic users predict what will happen