Deploy simulation intelligence
inside your organization.
Ground multi-agent simulations in your proprietary research. Run structured war-games at scale. Extract structured intelligence — not summaries.
Construct the world. Observe like God.
Build any simulation world from your research. Watch millions of agents interact, evolve, and surprise you.
Strategic War-Gaming
Model how competitors, partners, and internal stakeholders respond to your next move — before you make it. Agent profiles are grounded in your private documents, filings, and market data. Run parallel simulations across multiple strategic assumptions.
Example
"How do three competing telcos and the FCC respond if we announce a $40B acquisition next quarter?"
Regulatory Foresight
Simulate the multi-agent dynamics around pending legislation, regulatory rulings, or policy shifts. Build agent profiles from public filings, lobbying disclosures, and internal legal research. Map coalition formation before it happens.
Example
"Map how the ECB, German parliament factions, and EU Commission respond to a proposed digital euro framework."
Geopolitical Intelligence
Run structured geopolitical simulations grounded in OSINT, internal research, or private sources. Model how macro agents — central banks, governments, state enterprises — navigate crisis, sanctions, or regime transition.
Example
"Simulate how OPEC+ members, the US Treasury, and major sovereign funds respond to a sudden 30% oil price collapse."
How a world is built.
From raw research to a living simulation — four stages, fully auditable.
Ingest
Upload proprietary documents, reports, and transcripts. Sources stay isolated inside your private repository — never indexed across accounts.
Frame
LLM synthesizes a structured simulation world: agent roster, observable metrics, world rules, tension graph, and contextual entities extracted from your sources.
Simulate
The world activates. Millions of AI agents — each grounded in your private research — pursue independent goals, form coalitions, and revise strategies across time. You observe the entire system from above. Every action, every relationship shift, every emergent dynamic is logged as the world evolves.
Extract
Structured intelligence output: predictions, divergence points, key risks, decision implications, agent relationship graph, and full narrative report.
The simulation world.
Millions of agents. One sandbox. Infinite scenarios.
01
Population at scale
Instantiate millions of AI agents — each a calibrated 1:1 model of a real-world entity, built exclusively from your private documents and research. Every agent carries its own identity, strategy, hidden agenda, and knowledge boundaries.
02
Autonomous evolution
Agents don't follow scripts. They pursue goals, form alliances, contest resources, and revise strategies in response to each other. Emergent dynamics arise from agent interaction — not from predefined rules. The world surprises you.
03
God-mode observation
You observe the simulation world from above. Track every agent's state, every coalition forming, every relationship shift — in real time. Pull structured intelligence at any depth: individual agent, subgroup, or system-wide emergent dynamics.
Private repositories
Your documents are isolated per organization and never shared across accounts.
No model training
Your data is used as simulation context only — never for fine-tuning or model improvement.
Data isolation
Sources are never exposed across organizations. Simulation state is scoped to your workspace.
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