
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
Brex
DatabricksMicrosoft
Notion
Palantir
professionals at
THE OPERATING SYSTEM
FOR DECISION REHEARSAL
FOR DECISION REHEARSAL
ONE WORLD / MANY POSSIBLE FUTURESAnalytics 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.



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.
↗Legal
Rehearse arguments, evidence, counterparties, process choices, and settlement paths.
↗BEHAVIOR MODEL LIVE
Variation in preferences, incentives and risk tolerance.
How strongly peers and networks affect each decision.
How long agents retain outcomes and adapt from experience.
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.
Ground
Connect evidence from product data, interviews, operations, documents, and the world around the decision.
Build
Construct a reusable system twin of people, AI agents, organizations, tools, and environmental conditions.
Fork
Copy the same starting world into controlled alternatives so every intervention can be compared fairly.
Simulate
Run each future repeatedly across different behaviors, failures, shocks, assumptions, and random seeds.
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 ↗