Financial Services

Detect complex fraud schemes and protect the bottom line

Financial services companies no longer have the assurance of verifying an individual’s identity in person and instead must rely on a variety of methods that introduce friction into the customer experience, for which expectations are higher than ever.

Simility’s industry recognized Adaptive Decisioning Platform combines various internal and external data sources, then enriches that data and applies advanced machine learning algorithms to uncover correlations between devices, locations, behavior, and identities that may be indicative of complex fraud schemes.

Simility helped a top five bank detect anomalous behavior, uncovering nearly 60 fraudulent bank accounts worth millions.*

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See how big data, machine learning, and people can help detect
and prevent evolving fraud

Simility’s platform is built on multiple capabilities that help
businesses stay ahead of evolving fraud

Simility’s platform is built on multiple capabilities that help businesses stay ahead of evolving fraud

Auto Machine Learning

Since machine learning models deteriorate over time as data changes, AutoML offers data scientists a fast and efficient way to train, tune, validate, and deploy models. By automating this time-consuming process, models are regularly optimized to stay ahead of evolving fraud, and data scientists can scale their efforts.

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Entity Graph View

Arms fraud analysts with a powerful visualization tool to uncover suspicious patterns and investigate complex fraud schemes, including organized crime.

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*Results are specific to this bank. Other results may vary by industry, customer, and use case.