About ARS

Reality simulation for high-stakes decisions

What we do

ARS is a multi-engine reality simulation platform. It runs Monte Carlo stress-tests, game-theoretic competitive models, network diffusion, and cross-domain world models so you can see how a decision plays out across markets, teams, reputations, and policies before you make it.

Who it is for

ARS is built for anyone facing a consequential choice: founders choosing between funding strategies, political campaigns weighing messaging pivots, policy analysts modelling zoning changes, executives stress-testing pricing moves, and investors pressure-testing portfolio companies.

How it works

You describe the decision, the options on the table, and the stakeholders involved. The simulation engine then runs hundreds to thousands of trials across coupled simulation kernels, clusters the results into branching futures, and delivers a decision memo for each branch with top risks, leading indicators, trigger thresholds, and an action plan.

Our principles

• Clarity over certainty. We surface trade-offs, not false confidence.
• Calibration matters. We track prediction accuracy and build your Brier score over time.
• Safety by default. Rate limits, fairness checks, PII detection, and restricted-domain filters are built in from day one.
• Transparency. Every simulation output includes the full causal chain so you can see why, not just what.

Contact

Questions or feedback? Reach us at support@simul.info or visit the contact page.