MAML by Algoredge

We help you make better credit decision for better results.

We solve the issue of under-writing that arise from traditional credit scoring method by providing accurate, predictive analysis of thousands data points of the borrower to help financial institutions to accurately identify reliable borrowers thereby increasing their revenue. We employ an automated credit-decisioning technology that uses machine learning and big data analytics. We will be charging an annual subscription from our customers for the usage of our software. Our technology is unique as it finds correlation between data points that are usually can’t be found in the traditional credit scoring method.

Credit fraud is one of the biggest risks financial institutions face today, this ultimately leads to default which severely affects the profitability of the organization. Our proprietary credit-decisioning technology uses machine learning and big data analytics to help financial institutions to accurately identify fraudulent activities and predict risk by upto 80%, so they can increase revenue, reduce risk and ensure compliance. The ability to make sense of thousands of non traditional data points to make improved, informed formed decision about the borrower is what enables us to do what we do.
decisions.

Urmila Chandrasekeram

Urmila Chandrasekeram

Urmila Chandrasekeram - LinkedIn
Co-Founder
Kukaraj Tharamasegaram

Kukaraj Tharamasegaram

Kukaraj Tharamasegaram - LinkedIn
Co-Founder
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