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Heron Data: Cashflow Scoring for SMBs
Predict business credit risk using bank data
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Problem
Small and medium-sized businesses (SMBs) often struggle to assess credit risk effectively due to a lack of comprehensive tools that analyze bank transactions, leading to inaccurate credit decisions and potential financial losses. Inaccurate credit decisions and potential financial losses.
Solution
Heron Data offers a credit risk model for SMBs, leveraging bank transaction data to predict the likelihood of debt repayment with a 0.74 AUC. This allows businesses to make more informed lending decisions.
Customers
The primary users are financial institutions, credit lenders, and fintech companies serving the SMB market, looking to improve their credit risk assessment process.
Unique Features
The unique feature of Heron Data is its use of bank transaction data to create a comprehensive credit risk model specifically designed for SMBs, achieving a 0.74 AUC in predictions.
User Comments
Currently, there are no user comments available for analysis.
Traction
No specific traction metrics are available such as number of users, MRR/ARR, or financing.
Market Size
The global credit risk management market size is expected to reach $5.52 billion by 2028.