RangeTeller is a framework that enables banks to proactively create transparent lending strategies by integrating human insights with AI.

In the US alone, banks reject 7,000,000 personal loan applications every year simply because the credit score of an applicant is not high enough.

0 Million

In the past decade banks have lost $50 billion in the personal loans market to fintech lenders that rely on more advanced credit assessment methods than a single credit score.

$ Billion

Using RangeTeller banks can identify new creditworthy clients, increase the acceptance rate, mitigate lending risks, reduce R&D expenses, proactively build scalable transparent strategies, and diversify customer base.

Unlike credit score models, RangeTeller uses local historical data, which is the most relevant data. Credit score approach is one-dimensional, while RangeTeller enables users to build multi-dimensional strategies. Experts that use RangeTeller can proactively integrate their knowledge with a built-in AI. RangeTeller models are fully transparent and compliance friendly.

RangeTeller is a framework that enables banks to proactively create transparent lending strategies by integrating human insights with AI.

Using RangeTeller banks can identify new creditworthy clients, increase the acceptance rate, mitigate lending risks, reduce R&D expenses, proactively build scalable transparent strategies, and diversify customer base.

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