Financial Crime Intelligence Data
We help our clients build better defences against financial crime by translating financial crime intelligence into data resources with our simulation and synthetic data engine Synthetizor®
Why FinCrime Dynamics?
Experts in financial crime intelligence
Our specialist team and wider community is made up of world leading experts in financial crime intelligence with decades of experience in anti-financial crime compliance, machine learning and data science.
Leaders in financial crime simulation and synthetic data
Our technology solution Synthetizor® contains the world’s most comprehensive library of financial crime behavioural simulations and specifically designed synthetic data generation engine designed for anti-financial crime applications.
Independent assurance provider
FinCrime Dynamics is not affiliated with any individual financial institution or provider of anti-financial crime controls. This independence allows us to assess and improve our clients’ anti-financial crime controls without a conflict of interest.
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Secure Data Privacy
Synthetic data helps mitigate the data privacy concerns when using real private data. Synthetic data retains the analytical qualities of real data but cannot be traced back to the original source, unlike anonymised data.
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Superior Data Quality
Synthetic data retains the analytical traits of source data. Data quality can be improved by cleansing and reducing bias. Customised labelling of your data for more effective testing.
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Scalable Data Generation
Synthetic data allows for large amounts of data to be quickly generated from small source data sets. This circumnavigates the need to continually gain access to and cleanse real data sets.
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Simulate Financial Crime
Test your financial crime controls in a safe way using simulations of financial crime behaviours. Measure your performance against simulations of known financial crime techniques as well as self-customised scenarios. Label your data with financial crime simulations for effective control testing.
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