Client challenges that we solve
- How can we use fraud detection models to better mitigate negative behavior before we incur risk?
- How can we expedite the implementation of our AML deployment and maximize its value?
- What technologies can reduce manual, repetitive work, so our team can focus where personal intervention is most critical?
- How can we determine the optimal levels of fraud detection and minimize false positives?
- In what ways can we use case management results to update risk models?
Regulatory Technology solutions
Fraud Detection
Using Machine Learning and Neural Network technologies, coupled with existing fraud detection solutions, Ness helps clients identify risky behaviors that don’t get caught by traditional risk models and respond to tomorrow’s threats
Know Your Customer
Ness creates enhanced Know Your Customer (KYC) capabilities that increase the quality, scope and relevance of KYC data, while reducing the time required for data collection
Anti-Money Laundering
Ness maximizes the value of Anti-Money Laundering (AML) solutions by increasing the quality and breadth of the data they leverage, including more effective capabilities in data collection, ingestion, curation, distribution, and governance
