Do you believe
the future will look like the past?

Neither do we.

What is complexity economics?

Complexity economics is a science-backed way of understanding markets as they truly are. It accounts for interactions, feedback loops, and the unpredictable behaviors found in real-world economies, revealing actionable insights conventional models miss.

What is complexity economics?

What is complexity economics?

Complexity economics is a science-backed way of understanding markets as they truly are. It accounts for interactions, feedback loops, and the unpredictable behaviors found in real-world economies, revealing actionable insights conventional models miss.

Complexity economics is a science-backed way of understanding markets as they truly are. It accounts for interactions, feedback loops, and the unpredictable behaviors found in real-world economies, revealing actionable insights conventional models miss.

How we’re unique

This approach enables empirically validated, testable, and actionable predictions. Our insights are not just data — they are clear decision-making tools based on a proven track record.

This approach enables empirically validated, testable, and actionable predictions. Our insights are not just data — they are clear decision-making tools based on a proven track record.

Because our model realistically captures the complexity of global markets, our predictions stand up when stress-tested in practice — no matter how unusual the scenario.

Because our model realistically captures the complexity of global markets, our predictions stand up when stress-tested in practice — no matter how unusual the scenario.

More than a dashboard,
it’s a painkiller

More than a dashboard,
it’s a painkiller

We built Macrocosm to solve immediate problems: fragmented risk signals, conflicting macro models, incompatible climate scenarios, and AI outputs that collapse under uncertainty.

We built Macrocosm to solve immediate problems: fragmented risk signals, conflicting macro models, incompatible climate scenarios, and AI outputs that collapse under uncertainty.

Our agents behave like real companies: they invest, compete, respond to shocks, and sometimes fail.

Macrocosm doesn’t smooth over chaos — it structures it.