The answer is in the data

Our proprietary risk model uses all available data to score and predict financial crime risk across the range of risk themes.


Elucidate uses a banks own data alongside public domain and proprietary data to run over 1200 discreet tests, which we refer to as eventualities.

Public data
Proprietary data
Wolfsberg CBDDQ
Institutional data
Hybrid of machine learning and expert-driven modelling

EFI Platform

Each eventuality is assessed for both impact and probability, with results driving ongoing model optimisation.

Employee Conduct
Geographic footprint
Bribery and  corruption
Customer portfolio
Organisational reputation
Products and channels
Governance framework
Transactional  activity


The assessment results in nine scores across a range of financial crime risk themes, enabling nuanced FinCrime risk management.