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Computational simulation

Many of today’s problems are just too complicated for simple structural models and cannot be handled with just machine learning and statistical techniques.

Simulation provides policy makers, regulators, and other key players in the financial services sector with the necessary tool kit to solve these problems and make better decisions.

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Simulation for market simulation

Model realistic market dynamics with a high-fidelity agent-based market simulator.

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Simulation for FinCrime analytics

Minimize financial crime while reducing cost in a GDPR compliant virtual environment.

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Simulation for for risk management

Run multiple what-if scenarios to make better informed, forward-looking business decisions.

What is simulation?
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Simudyne, as a foundational technology, supports all the modeling formats required to build enterprise computer simulations. It was built to comply with the needs of global organizations, particularly when it comes to security, ease of integration, and scalability.

Our Partners
By building agent-based models we hope to spot and prepare for risks arising from dynamic and large, direct and contingent, counter-party exposures. This helps create a more robust and stable bank for our customers, clients and shareholders.
CS Venkatakrishnan
Group Chief Risk Officer at Barclays Bank
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Discover how Simudyne can help your organization harness the power of advanced simulation.