Run multi-agent scenarios powered by real research. See every outcome before making your move.
Used by researchers, analysts, and strategists
to pressure-test decisions before they make them.
Define the scenario
Name the decision, crisis, or turning point you want to pressure-test against reality.
Ground it in evidence
AI deep-searches your sources — documents, transcripts, data — and builds the intelligence base.
Construct the world
Your research becomes a living simulation world: agents, power dynamics, rules, and tensions.
Populate with agents
Millions of AI agents — each a 1:1 model of a real-world entity — enter with identities, strategies, and hidden agendas.
Let the world run
Agents act, react, form alliances, and contest power. The world evolves on its own. You watch from above.
Extract intelligence
Predictions, turning points, risk divergence, and emergent dynamics — structured intelligence, not a summary.
How it works
Real actors. Real beliefs.
Upload your documents, reports, and sources. The Prediction Engine reads them and builds agent profiles — each one a 1:1 mirror of a real-world actor, whose beliefs, incentives, and constraints are synthesized directly from your material. No hallucination. No generic archetypes.
Relationships matter.
Before round one starts, X builds a relationship graph from your sources — who trusts whom, who has leverage over whom, which factions are aligned. Every agent enters the simulation carrying that history. Prior interactions shape every decision.
Go deeper.
When the simulation ends, each agent stays in character. Ask Powell why he dissented. Ask China Gov how they plan to respond. The agents answer from inside their accumulated history — their positions, their constraints, what changed their minds.
What people simulate
From macro policy to AI regulation — simulate any scenario where human decisions, power structures, and incentives collide.
Monetary Policy
The Fed holds as inflation re-accelerates. Which G20 central banks break ranks first — and what does the cascade look like across EM currencies?
Model diverging monetary regimes, capital flight dynamics, and sovereign debt stress across a 12-month window.
Geopolitics
A disputed South China Sea incident triggers DEFCON escalation. Map the decision tree across Beijing, Washington, Tokyo, and Manila in the first 96 hours.
War-game the full escalation ladder — from back-channel signaling to public commitment traps and third-party calculations.
Technology Governance
EU AI Act enforcement begins. Which foundation model labs exit the European market, which comply, and who captures the regulatory vacuum?
Simulate regulatory arbitrage, lobbying coalitions, and product strategy pivots across labs, member states, and standards bodies.
Energy Transition
Saudi Arabia cuts production by 3M barrels/day unilaterally. Trace second and third-order effects on petrostates, sovereign wealth funds, and EV adoption curves.
Model belief revision inside OPEC+, capital reallocation across energy sectors, and political realignment in import-dependent economies.
Corporate Strategy
A major pharmaceutical acquires a diagnostics AI company. Simulate incumbent response, FDA posture, and payer network dynamics over 18 months.
Map competitive countermoves, reimbursement coalition formation, and the strategic calculus of smaller players deciding whether to partner or exit.
Systemic Risk
Three regional banks fail simultaneously. Model how the Fed, Treasury, Congress, and institutional creditors coordinate — or fail to — in real time.
Simulate the political economy of a bailout decision: who defects, who grandstands, and which intervention arrives too late.
Strategic war-gaming · Regulatory foresight · Geopolitical intelligence
Private repositories · Source-isolated execution · No model training on your data
Learn about EnterpriseBuild a repository. Simulate any scenario. Predict anything.