Financial organizations lose a significant percentage of annual revenue to fraud every year. Undetected frauds also lead to loss of productivity and eroding customer confidence.
FidelityPulse is a fraud detection system which employs machine learning to help identify and flag potential financial frauds.
We have designed a model which can ingest multiple forms of financial data to identify discrepancies and outliers.
The resulting Fidelity Score which lies between (0 to 1000) helps you identify the frauds and make pre-emptive decision.
The score is calculated based on the financial details fed to the system.