Simudyne

Simudyne

Agent-based simulation software for financial market analysis.

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DateInvestorsAmountRound
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$6.0m

Series A
Total Funding000k

Financials

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Revenues, earnings & profits over time
EUR201120122013201720182019
Revenues000000000000000000000000
EBITDA000000000000000000000000
% EBITDA margin-----(571 %)
Profit000000000000000000000000
% profit margin-----71 %
EV000000000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x00.0x
R&D budget000000000000000000000000

Source: Company filings or news article

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More about Simudyne
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Simudyne is a simulation technology company that enables organizations to test decisions and strategies in a virtual environment. The firm was founded in 2016 by Justin Lyon, a simulation expert who, after consulting for organizations like the Bank of England and Microsoft, identified a need for a more advanced simulation platform. Lyon's background in mathematical modeling, specifically focusing on counterinsurgency at MIT after 9/11, informed his view that traditional modeling methods were insufficient for complex, real-world systems.

The company's core offering is a platform that uses agent-based modeling (ABM), AI, and machine learning to create high-fidelity simulations. This allows clients, primarily global banks, financial regulators, and exchanges, to model and stress-test scenarios, analyze market contagion, optimize trade execution, and manage risk without real-world consequences. The platform is designed to be enterprise-ready and can be deployed on-premise or in the cloud. Products include the Simudyne SDK for building custom models, MarketSim for simulating financial markets, and Simudyne Pulse for high-frequency trading strategy optimization.

Simudyne's business model is based on selling its software to large financial institutions, with annual costs for clients ranging from $475,000 to $3.25 million. The company graduated from the Barclays TechStars accelerator in 2017 and has since secured significant funding, including a $6 million Series A round in 2019 led by Barclays. This brought its total funding to $10 million, with other investors including Graphene Ventures and Gauss Ventures. The firm has partnered with technology companies like Cloudera and Red Hat and runs its scalable simulations on AWS.

Keywords: agent-based modeling, financial simulation, risk management, market simulation, stress testing, computational simulation, decision analytics, financial technology, capital markets, algorithmic trading, financial crime analytics, market execution, liquidity risk, AI in finance, machine learning, Cloudera, Barclays, high-frequency trading, backtesting, scenario analysis

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