Test the future before it happens.

Build a world. Populate it with synthetic humans. Run scenarios and see how decisions play out — before you go live.

Polyhyle simulation workspace

Pricing, copy, funnel changes, market shifts.

Understand outcomes before real users ever see them.

Join the waitlist

Private beta. Limited access. No spam.

What decisions do you want to test?

A sandbox for decision-making.

Polyhyle is a simulation platform where teams create a controlled world, define its assumptions, populate it with synthetic humans, and run strategic scenarios before taking real-world action.

Build the world

Populate with synthetic humans

Run scenarios

Observe outcomes

SIMULATION DETAIL

Q2 Pricing Shift

A 12% increase paired with a time-saving message lifts revenue without triggering high churn in high-intent teams.

Create scenario
RunningSaaS Product Teams EU
Horizon: 30 days

CONVERSION

+8.4%

CHURN

-1.1%

CONFIDENCE

84/100

WORLD STATE SNAPSHOT

Variables

Economy: Stable

Weather: Sunny

Inflation: 0.02

State

State: Running

Speed: 10x

Time: 12/05/26, 14:00

WORLD MOOD

Day 1Day 7Day 14Day 21Day 30

DECISION VELOCITY

Compress weeks of validation into minutes.

Test pricing, copy, funnel changes, and market shifts before they go live. Simulate outcomes, compare scenarios, and decide faster with less exposure.

BEFORE

Traditional validation

14-45 days

Research, interviews, A/B tests, and waiting for enough signal.

  • Interviews
  • A/B tests
  • Market research
  • Analyze and decide

AFTER

Polyhyle simulation

Minutes

Build a world, run scenarios, compare likely outcomes, and decide before launch.

  • Build world
  • Run scenario
  • Compare outcomes
  • Decide

Signal before live exposure.

Lower live riskFaster feedback loop

HOW IT WORKS

See how decisions play out before the market does.

Model the world, simulate behavior, and compare likely outcomes before launch.

  1. 01

    Build the world

    Set assumptions, market conditions, and constraints.

  2. 02

    Simulate behavior

    Populate it with synthetic humans and run realistic scenarios.

  3. 03

    Compare outcomes

    See likely reactions across segments before going live.

  4. 04

    Decide before launch

    Choose the strongest direction with less exposure and faster feedback.

Questions before you simulate.

A quick guide to who Polyhyle is for, what it solves, and where it fits into your decision workflow.

Who is Polyhyle for?

Polyhyle is for product, growth, research, strategy, and founder teams that need to make consequential decisions before they have enough live signal.

What problem does Polyhyle solve?

It reduces the gap between an idea and real-world feedback. Instead of waiting weeks for interviews, tests, or enough traffic, teams can simulate likely reactions before committing budget, code, or reputation.

What can we simulate?

You can test pricing changes, copy and positioning, funnel updates, onboarding flows, market shocks, competitor moves, rollout strategies, and willingness-to-pay assumptions.

How is this different from A/B testing?

A/B tests require live exposure and enough traffic. Polyhyle runs before launch, so you can compare options and remove weak directions before users ever see them.

How reliable are simulated outcomes?

Polyhyle is decision support, not a guarantee. Results depend on the world, assumptions, and scenario you configure, and they are strongest when used to compare directions rather than predict a single exact number.

What inputs do we need to start?

You can start with a market, audience segments, the decision you want to test, and the assumptions that might shape behavior. More context improves the simulation, but you do not need a full research dossier.

When should a team use Polyhyle?

Use it before a launch, price change, campaign, onboarding update, market entry, or any decision where learning only after exposure would be slow, expensive, or risky.

Can it work for early-stage teams?

Yes. Early teams can use Polyhyle to explore positioning, pricing, and target segments before they have large datasets or enough traffic for conventional experiments.

How does private beta access work?

Join the waitlist with a work email and the decisions you want to test. We are opening access gradually to teams whose use cases fit the current product.

Request access

Private beta. No spam.