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What is Rollee?
Rollee provides businesses with access to alternative data sources to improve risk analysis and underwriting processes. It allows for the integration of customer income, work history, and tax data directly from sources such as gig economy platforms, government portals, and payment wallets. This capability enables a more comprehensive evaluation of applicants, especially those with non-traditional employment backgrounds.
By leveraging verified data from diverse sources, Rollee helps organizations grow by confidently underwriting a wider range of workers. This approach facilitates the development of more inclusive financial products, streamlines affordability checks, reduces default and fraud events, and enhances scoring models. The platform serves industries including consumer lending, vehicle financing, and recruitment.
Features
- Income Verification: Verify customer income directly from the source.
- Work History Verification: Confirm users' past work history.
- Tax Data Access: Integrate with government portals to access tax information.
- Gig Economy Data Aggregation: Centralize gig worker earnings into a single view for informed risk decisions.
- Payment Wallet History Analysis: Verify users' payment history to build a risk profile.
- Alternative Data Integration: Include more data points into scoring models for critical evaluation.
- API Access: Integrate data capabilities into existing systems.
Use Cases
- Verify income and work history for loan applications.
- Enhance credit scoring models with alternative data.
- Underwrite gig economy workers and applicants from diverse backgrounds.
- Streamline affordability checks in consumer lending.
- Assess the reliability of vehicle loan applicants.
- Identify suitable candidates in recruitment using alternative data.
- Reduce default and fraud risk in financial services.
- Build better financial products using verified income data.
Helpful for people in the following professions
Rollee Uptime Monitor
Average Uptime
99.93%
Average Response Time
288.77 ms
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