Identifying and monitoring fraud and non-compliance is critical for every organization. In addition to monetary loss, your organization’s reputation and trust are at risk. Data science and machine learning solutions can help companies stay ahead of ever-evolving fraud risks to proactively mitigate active threats.
We have deep experience partnering with fraud, risk, compliance, and threat detection departments. We use creative data science techniques to build and deploy impactful analytic solutions to arm front line investigators and auditors.
We have built fraud and risk solutions in:
- Contract and procurement fraud
- Healthcare provider, pharmacy, and payment fraud
- Insurance claims fraud
- Financial services fraud and non-compliance
- Tax fraud and non-compliance
- E-commerce transactions fraud
- Cyber and insider threat
We created RADR (Risk Assessment Data Repository) as a risk analytics platform for front line investigators and auditors. RADR uncovers previously unseen risks, visualizes connections between risky entities, and monitors anomalous behaviors.