Credit Score.
Revenue Share Model
Credit scoring automates financial institutions decision-making process, identifying creditworthy individuals with minimal historical footprint. This allows for profitable credit extension.
Sources of data
Our credit scoring techniques are flexible to any type and format of data including but not limited to data from telcos, Credit Reference Bureau (CRB), Mobile metadata and any available historical lending data.
Why Choose Us?
Through years of experience, we have a proven track record of enabling credit facilities scale their lending businesses profitably. Through years of experience, we have a proven track record of enabling credit facilities scale their lending businesses profitably. Through years of experience, we have a proven track record of enabling credit facilities scale their lending businesses profitably. Our credit scoring models adapt to market trends, ensuring top-notch qualification criteria for low default rates by incorporating changes in the economy and customer behavior. Our team of experienced analysts and scientists is dedicated to ensuring high-quality work at all times. Our automated systems provide a competitive edge by eliminating human intervention limitations like poor judgement. Our plug-and-play solution is seamless and is easily integrated with any system, reducing the time-to-market of the solution.
Security Measures.
We adhere to the required Data Privacy Policies measures while handling customer data. Data is only aceesed after explicit consent from the customer to do so. We only access metadata and anonymized personal data to create predictive models. We DO NOT use personal sensitive data in our scoring methodologies. We use high level security protocols like encryption while handling data in transit and at rest to maintain data integrity in our data access and storage.