Simulate the decision before it becomes reality.

We’re WorldSim, and our mission is to help humanity make better decisions by making their consequences visible before they become real.

Used by
professionals at
BrexDatabricksMicrosoftNotionPalantir
THE OPERATING SYSTEM
FOR DECISION REHEARSAL
A branching WorldSim system twin with connected possible futuresONE WORLD / MANY POSSIBLE FUTURES

Analytics explain the past.
WorldSim rehearses what comes next.

The future is too expensive to test directly in production. WorldSim lets teams compare alternatives, inspect why outcomes differ, and identify the smallest real-world experiment that reduces uncertainty.

Product principleConfidence before persuasion.

We create AI agents modeled on real people and place them inside simulated environments, allowing companies to test decisions before implementing them in the real world.

A fictional WorldSim business buyer persona with behavioral signals
San Francisco source environment
A simulated San Francisco world with people, mobility, workplaces, and commerce
LIVE WORLD · SAN FRANCISCO12,400 agents
01Morning routine

Observe friction before the day begins.

02Moving through the city

Measure choices across time and place.

03Coffee with a colleague

Trace how social context changes intent.

04Trying the product

See what converts interest into action.

1 Model the person2 Fork the decision3 Observe behavior in context

One decision.
Thousands of possible futures.

Simulate human behavior in any environment to tailor your decisions and achieve your goals.

SIMULATING: AUDIENCE SEGMENTS 1 / 3

Product

See which features earn adoption, trust, and retention before committing the roadmap.

Go-to-market

Rehearse messages, channels, pricing, and competitive response before launch.

Finance

Fork runway, hiring, capital, and revenue assumptions across correlated shocks.

BEHAVIOR MODEL LIVE
72%

Variation in preferences, incentives and risk tolerance.

38%

How strongly peers and networks affect each decision.

30d

How long agents retain outcomes and adapt from experience.

24%

Frequency and intensity of external changes and shocks.

Population modelHigh behavioral heterogeneity
Interaction modelPeer-influenced decisions

StructureLearn the supported relationships between actors, traits, environments, and second-order effects.

Illustrative product demonstration. WorldSim returns ranges, evidence links, and confidence levels—not guarantees.

One reusable loop

Five stages.
Every simulation.

Every run stays connected to evidence, assumptions, probability ranges, and an observable real-world outcome.

01

Ground

Connect evidence from product data, interviews, operations, documents, and the world around the decision.

02

Build

Construct a reusable system twin of people, AI agents, organizations, tools, and environmental conditions.

03

Fork

Copy the same starting world into controlled alternatives so every intervention can be compared fairly.

04

Simulate

Run each future repeatedly across different behaviors, failures, shocks, assumptions, and random seeds.

05

Validate

Compare predictions with observed outcomes, measure error, and calibrate the next simulation.

Build the future responsibly

The future should be rehearsed
before it is lived.

Join the design-partner program for product and AI-workforce simulation.

Become a design partner