Traditional models assume equilibrium. We assume reality. Leverage network science and agent-based simulations to turn market volatility into a strategic advantage.
We help organizations look beyond simple averages to understand the emergent behaviors that drive risk and opportunity.
Test new pricing models, product launches, or trading strategies in risk-free synthetic environments before deploying real capital.
View SimulationsMap hidden dependencies in your supply network to identify "too connected to fail" nodes and prevent cascading failures.
See Network AnalysisTraditional risk models fail during crises. Our complexity-based indicators provide early warning signals for phase transitions.
Explore Risk FrameworksApplying network theory to deal sourcing, synergy modeling, and post-merger integration risks.
View Our ModelsApplied research and technical analysis.
Mapping the erosion of diversification benefits during the 2022 volatility spikes.
Read ReportSimulating how algorithmic trading strategies amplify flash crash dynamics.
Coming SoonWhy static economic models are costing businesses millions in unhedged tail risk.
Read ArticleComplexity economics has long been trapped in academia. Complexity Insights demonstrates the practical application of these powerful tools.
Founded by Nicholas Thomas, we combine rigorous economic theory with advanced computational modeling and data science. We tackle problems standard econometrics cannot solve—specifically those involving feedback loops, behavioral adaption, and network effects.
Interested in seeing how complexity economics can apply to your specific challenges? We are currently accepting new projects and collaborations.