Predict the deal
before it happens.
Assess the probability before you bet.
Multi-agent AI for high-stakes negotiations and scenarios.
Three modes.
One intelligence engine.
Negotiation Arena
Simulate negotiations between any parties. Watch AI agents debate, propose, concede, walk away.
→ Learn moreProbability Lab
Quantify the likelihood of any outcome through structured multi-agent reasoning.
→ Learn moreScenario Planning
Map the futures that matter. Four-quadrant scenarios with newspaper headlines for your target year.
→ Learn moreSpecific users.
Specific pressure.
Aurelon is useful when your problem has real stakes, multiple plausible paths, and enough uncertainty that one neat answer is not enough.
Explore All Use CasesPrediction market traders
Pressure-test Polymarket prices with scenario-based probability estimates, base rates, and adversarial debate.
→ Explore probability analysisGeopolitical analysts
Model unstable outcomes such as ceasefires, elections, sanctions, and regime moves with structured scenario families.
→ See the forecasting workflowNegotiation teams
Simulate bargaining between counterparties before the real meeting and inspect concessions, walk-away points, and likely end states.
→ See negotiation simulationsStrategy and scenario planners
Map multiple plausible futures, stress-test strategic bets, and generate concrete narratives around uncertainty.
→ Explore scenario planningHow the engine thinks.
Define Scenario
Frame the question, parties, and stakes.
Real-Time Research
Agents pull live context from the open web.
Multi-Agent Debate
Adversarial reasoning across competing viewpoints.
Statistical Output
Probabilities, distributions, and auditable rationale.
Real questions.
Real stakes.
Not another chatbot.
One model gives you one opinion. Aurelon runs a committee of specialist agents, each arguing from a different vantage point until a picture resolves.
Consensus is cheap. Our agents disagree by design — stress-testing assumptions the way real analysts do, surfacing the weakest link in every thesis.
You don't get a paragraph. You get a probability, a distribution, and a transcript. Calibrated output, fully auditable, ready for decisions.
Frequently asked.
How is Aurelon different from ChatGPT?
ChatGPT gives you one voice. Aurelon runs adversarial debates between multiple specialist agents and returns calibrated probabilities — not prose.
Where does the data come from?
Agents perform real-time research against the open web, primary sources, and structured datasets before they reason.
Can I audit the reasoning?
Yes. Every simulation exposes the full debate transcript, sources, and the statistical aggregation behind each probability.
Who is it for?
Analysts, policy teams, traders, founders, and anyone making decisions where being wrong is expensive.